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ORCIDCarlos A. Coello Coello
Carlos Artemio Coello Coello
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- affiliation: CINVESTAV-IPN, Mexico
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2020 – today
- 2025
[j210]Efrain Solares
, Eduardo Fernández, Carlos A. Coello Coello, Xochitl Segura Lozano, Reimundo Moreno-Cepeda, Raymundo Díaz:
A Comprehensive System to Support Decision Making in Highly Complex Project Portfolio Situations. IEEE Access 13: 38115-38132 (2025)- [j209]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Jun Wang:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 20(1): 14-16 (2025) - [j208]Mohamed Radwan, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Neuro-PSO algorithm for large-scale dynamic optimization. Swarm Evol. Comput. 94: 101865 (2025) - [c326]Estefania A. Aguilar Arroyo, Carlos A. Coello Coello:
MOAISDX: A New Multi-objective Artificial Immune System Based on Decomposition. EMO (1) 2025: 46-59 - [c325]Sumit Mishra, Ved Prakash, Carlos A. Coello Coello:
Analysis of Merge Non-dominated Sorting Algorithm. EMO (2) 2025: 46-57 - [c324]Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello:
Adaptive Normal-Boundary Intersection Directions for Evolutionary Many-Objective Optimization with Complex Pareto Fronts. EMO (1) 2025: 132-147 - 2024
- [j207]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 19(1): 24-77 (2024) - [j206]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Yiu-ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 19(3): 9-11 (2024) - [j205]Yulong Ye, Qiuzhen Lin, Ka-Chun Wong, Jian-qiang Li, Zhong Ming, Carlos A. Coello Coello:
A localized decomposition evolutionary algorithm for imbalanced multi-objective optimization. Eng. Appl. Artif. Intell. 129: 107564 (2024) - [j204]Xiaoqiang Wu, Qingling Zhu, Wei-Neng Chen, Qiuzhen Lin, Jianqiang Li, Carlos A. Coello Coello:
Evolutionary reinforcement learning with action sequence search for imperfect information games. Inf. Sci. 676: 120804 (2024) - [j203]Antonio J. Nebro, Manuel López-Ibáñez, José García-Nieto, Carlos A. Coello Coello:
On the automatic design of multi-objective particle swarm optimizers: experimentation and analysis. Swarm Intell. 18(2): 105-139 (2024) - [j202]Amín V. Bernabé Rodríguez, Braulio Israel Alejo-Cerezo, Carlos A. Coello Coello:
Improving multi-objective evolutionary algorithms using Grammatical Evolution. Swarm Evol. Comput. 84: 101434 (2024) - [j201]Xinzhi Zhang, Yeming Yang, Qingling Zhu, Qiuzhen Lin, Weineng Chen, Jianqiang Li, Carlos A. Coello Coello:
Multi-agent deep Q-network-based metaheuristic algorithm for Nurse Rostering Problem. Swarm Evol. Comput. 87: 101547 (2024) - [j200]Qiuzhen Lin, Zhongjian Wu, Lijia Ma, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello:
Multiobjective Multitasking Optimization With Decomposition-Based Transfer Selection. IEEE Trans. Cybern. 54(5): 3146-3159 (2024) - [j199]Lingjie Li, Yongfeng Li, Qiuzhen Lin, Songbai Liu, Junwei Zhou, Zhong Ming, Carlos A. Coello Coello:
Neural Net-Enhanced Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization. IEEE Trans. Cybern. 54(6): 3502-3515 (2024) - [j198]Lilla Beke, Lourdes Uribe, Adriana Lara, Carlos Artemio Coello Coello, Michal Weiszer, Edmund K. Burke, Jun Chen:
Routing and Scheduling in Multigraphs With Time Constraints - A Memetic Approach for Airport Ground Movement. IEEE Trans. Evol. Comput. 28(2): 474-488 (2024) - [j197]Xunfeng Wu, Qiuzhen Lin, Junwei Zhou, Songbai Liu, Carlos A. Coello Coello, Victor C. M. Leung:
Evolutionary Optimization with a Simplified Helper Task for High-Dimensional Expensive Multiobjective Problems. ACM Trans. Evol. Learn. Optim. 4(4): 23:1-23:32 (2024) - [c323]Carlos Felipe Coello Castillo, Carlos A. Coello Coello:
A Survey of Applications of Multi-Objective Evolutionary Algorithms in Biotechnology. CEC 2024: 1-8 - [c322]Gerardo Ibarra-Vázquez, Hugo Terashima-Marín, Carlos A. Coello Coello:
Exploring Generative AIs as Population Variation Operator in Multi-objective Optimization Problems. CEC 2024: 1-8 - [c321]Julio Juárez, Carlos A. Brizuela, Hugo Terashima-Marín, Carlos A. Coello Coello:
Recombination Operators for the Multi-Objective Team Formation Problem in Social Networks. CEC 2024: 1-8 - [c320]Safa Mahouachi, Maha Elarbi, Khaled Sethom, Slim Bechikh, Carlos A. Coello Coello:
A Bi-Level Evolutionary Model Tree Induction Approach for Regression. CEC 2024: 1-9 - [c319]Carlos Artemio Coello Coello:
Constraint-Handling Techniques used with Evolutionary Algorithms. GECCO Companion 2024: 1261-1283 - [c318]Ali Ahrari, Ruhul A. Sarker, Carlos A. Coello Coello:
Aggregated Partial Hypervolumes - An Overall Indicator for Performance Evaluation of Multimodal Multiobjective Optimization Methods. PPSN (2) 2024: 3-19 - [c317]Rodolfo Humberto Tamayo, Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
Reaching Pareto Front Shape Invariance with a Continuous Multi-objective Ant Colony Optimization Algorithm. PPSN (4) 2024: 252-267 - [i8]Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong:
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization. CoRR abs/2404.13377 (2024) - [i7]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems. CoRR abs/2410.03205 (2024) - 2023
- [j196]Eduardo Fernández, Jorge Navarro, Efrain Solares, Carlos A. Coello Coello, Raymundo Díaz, Abril Flores:
Inferring Preferences for Multi-Criteria Ordinal Classification Methods Using Evolutionary Algorithms. IEEE Access 11: 3044-3061 (2023) - [j195]Wenhong Wei, Manlin Xuan, Lingjie Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello:
Multiobjective optimization algorithm with dynamic operator selection for feature selection in high-dimensional classification. Appl. Soft Comput. 143: 110360 (2023) - [j194]Yatong Chang, Wenjian Luo, Xin Lin, Zhen Song, Carlos A. Coello Coello:
Biparty multiobjective optimal power flow: The problem definition and an evolutionary approach. Appl. Soft Comput. 146: 110688 (2023) - [j193]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(1): 17-19 (2023) - [j192]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(2): 13-15 (2023) - [j191]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(3): 10-86 (2023) - [j190]Yongduan Song, Dongrui Wu, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yiu-Ming Cheung, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 18(4): 10-12 (2023) - [j189]Zhenkun Wang, Man-Fai Leung, Hangjun Che, Carlos A. Coello Coello:
Thematic issue on advances in analysis and application of multi-objective memetic optimization algorithms. Memetic Comput. 15(1): 1-2 (2023) - [j188]Gilberto Rivera, Laura Cruz-Reyes, Eduardo Fernández-González, Claudia Gómez-Santillán, Nelson Rangel-Valdez, Carlos A. Coello Coello:
An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences. Swarm Evol. Comput. 76: 101211 (2023) - [j187]Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello:
Influence of the number of connections between particles in the performance of a multi-objective particle swarm optimizer. Swarm Evol. Comput. 77: 101231 (2023) - [j186]Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, Carlos A. Coello Coello, Hisao Ishibuchi:
On the utilization of pair-potential energy functions in multi-objective optimization. Swarm Evol. Comput. 79: 101308 (2023) - [j185]Marko Durasevic, Francisco Javier Gil Gala, Domagoj Jakobovic, Carlos A. Coello Coello:
Combining single objective dispatching rules into multi-objective ensembles for the dynamic unrelated machines environment. Swarm Evol. Comput. 80: 101318 (2023) - [j184]Saúl Zapotecas Martínez, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka:
Challenging test problems for multi- and many-objective optimization. Swarm Evol. Comput. 81: 101350 (2023) - [j183]Joel Artemio Morales-Viscaya, Adán Antonio Alonso-Ramírez, Marco Antonio Castro-Liera, Juan Carlos Gómez-Cortés, David Lazaro-Mata, José Eleazar Peralta-López, Carlos A. Coello Coello, José Enrique Botello-Álvarez, Alejandro Israel Barranco-Gutiérrez:
Fuzzy Model Parameter and Structure Optimization Using Analytic, Numerical and Heuristic Approaches. Symmetry 15(7): 1417 (2023) - [j182]Rihab Said, Maha Elarbi, Slim Bechikh, Carlos Artemio Coello Coello, Lamjed Ben Said:
Discretization-Based Feature Selection as a Bilevel Optimization Problem. IEEE Trans. Evol. Comput. 27(4): 893-907 (2023) - [j181]Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Revisiting Implicit and Explicit Averaging for Noisy Optimization. IEEE Trans. Evol. Comput. 27(5): 1250-1259 (2023) - [j180]Junkai Ji, Jin Zhou, Zhangfan Yang, Qiuzhen Lin, Carlos A. Coello Coello:
AutoDock Koto: A Gradient Boosting Differential Evolution for Molecular Docking. IEEE Trans. Evol. Comput. 27(6): 1648-1662 (2023) - [j179]Lingjie Li, Qiuzhen Lin, Zhong Ming, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello:
An Immune-Inspired Resource Allocation Strategy for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 53(6): 3284-3297 (2023) - [c316]Rihab Said, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Solving the Discretization-based Feature Construction Problem using Bi-level Evolutionary Optimization. CEC 2023: 1-8 - [c315]Kaoutar Senhaji, Carlos A. Coello Coello, José Antonio Lozano:
An Improved Version of MMOEA/DC Based on Alternative Clustering Definitions. CEC 2023: 1-9 - [c314]Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello:
A Novel Performance Indicator Based on the Linear Assignment Problem. EMO 2023: 348-360 - [c313]Ved Prakash, Sumit Mishra, Carlos A. Coello Coello:
On the Computational Complexity of Efficient Non-dominated Sort Using Binary Search. EMO 2023: 419-432 - [c312]Carlos A. Coello Coello, Marko Durasevic, Domagoj Jakobovic, Marina Krcek, Luca Mariot, Stjepan Picek:
Modeling Strong Physically Unclonable Functions with Metaheuristics. GECCO Companion 2023: 719-722 - [c311]Carlos Artemio Coello Coello:
Constraint-Handling Techniques used with Evolutionary Algorithms. GECCO Companion 2023: 1248-1270 - [c310]Amín V. Bernabé Rodríguez, Carlos A. Coello Coello:
Designing Scalarizing Functions Using Grammatical Evolution. GECCO Companion 2023: 2004-2012 - 2022
- [j178]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Uncertainty-wise software anti-patterns detection: A possibilistic evolutionary machine learning approach. Appl. Soft Comput. 129: 109620 (2022) - [j177]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(1): 10-12 (2022) - [j176]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(2): 11-13 (2022) - [j175]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(3): 11-13 (2022) - [j174]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Yew Soon Ong:
CIS Publication Spotlight. IEEE Comput. Intell. Mag. 17(4): 13-15 (2022) - [j173]Lingjie Li, Yongfeng Li, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello:
A convergence and diversity guided leader selection strategy for many-objective particle swarm optimization. Eng. Appl. Artif. Intell. 115: 105249 (2022) - [j172]Joel Chacón Castillo, Carlos Segura, Carlos A. Coello Coello:
VSD-MOEA: A Dominance-Based Multiobjective Evolutionary Algorithm with Explicit Variable Space Diversity Management. Evol. Comput. 30(2): 195-219 (2022) - [j171]Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello:
On the Construction of Pareto-Compliant Combined Indicators. Evol. Comput. 30(3): 381-408 (2022) - [j170]Yulong Ye, Qiuzhen Lin, Lijia Ma, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello:
Multiple source transfer learning for dynamic multiobjective optimization. Inf. Sci. 607: 739-757 (2022) - [j169]Yi Chen, Qiuzhen Lin, Wenhong Wei, Junkai Ji, Ka-Chun Wong, Carlos A. Coello Coello:
Intrusion detection using multi-objective evolutionary convolutional neural network for Internet of Things in Fog computing. Knowl. Based Syst. 244: 108505 (2022) - [j168]Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
PyDDRBG: A Python framework for benchmarking and evaluating static and dynamic multimodal optimization methods. SoftwareX 17: 100961 (2022) - [j167]Adriana Menchaca-Méndez, Saúl Zapotecas Martínez, Luis Miguel García-Velázquez, Carlos A. Coello Coello:
Uniform mixture design via evolutionary multi-objective optimization. Swarm Evol. Comput. 68: 100979 (2022) - [j166]Gilberto Rivera, Carlos A. Coello Coello, Laura Cruz-Reyes, Eduardo R. Fernández, Claudia Gómez-Santillán, Nelson Rangel-Valdez:
Preference incorporation into many-objective optimization: An Ant colony algorithm based on interval outranking. Swarm Evol. Comput. 69: 101024 (2022) - [j165]Qiyuan Yu, Qiuzhen Lin, Zexuan Zhu, Ka-Chun Wong, Carlos A. Coello Coello:
A dynamic multi-objective evolutionary algorithm based on polynomial regression and adaptive clustering. Swarm Evol. Comput. 71: 101075 (2022) - [j164]Yongfeng Li, Lingjie Li, Qiuzhen Lin, Ka-Chun Wong, Zhong Ming, Carlos A. Coello Coello:
A self-organizing weighted optimization based framework for large-scale multi-objective optimization. Swarm Evol. Comput. 72: 101084 (2022) - [j163]Eduardo Fernández, Nelson Rangel-Valdez, Laura Cruz-Reyes, Claudia Guadalupe Gómez Santillán, Carlos Artemio Coello Coello:
Preference incorporation in MOEA/D using an outranking approach with imprecise model parameters. Swarm Evol. Comput. 72: 101097 (2022) - [j162]Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Zhong Ming, Jun Zhang:
A Self-Guided Reference Vector Strategy for Many-Objective Optimization. IEEE Trans. Cybern. 52(2): 1164-1178 (2022) - [j161]Songbai Liu, Qiuzhen Lin, Kay Chen Tan, Maoguo Gong, Carlos A. Coello Coello:
A Fuzzy Decomposition-Based Multi/Many-Objective Evolutionary Algorithm. IEEE Trans. Cybern. 52(5): 3495-3509 (2022) - [j160]Forhad Zaman, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Pro-Reactive Approach for Project Scheduling Under Unpredictable Disruptions. IEEE Trans. Cybern. 52(11): 11299-11312 (2022) - [j159]Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Static and Dynamic Multimodal Optimization by Improved Covariance Matrix Self-Adaptation Evolution Strategy With Repelling Subpopulations. IEEE Trans. Evol. Comput. 26(3): 527-541 (2022) - [j158]Qiuzhen Lin, Xunfeng Wu, Lijia Ma, Jianqiang Li, Maoguo Gong, Carlos A. Coello Coello:
An Ensemble Surrogate-Based Framework for Expensive Multiobjective Evolutionary Optimization. IEEE Trans. Evol. Comput. 26(4): 631-645 (2022) - [j157]Lijia Ma, Yuchun Ma, Qiuzhen Lin, Junkai Ji, Carlos A. Coello Coello, Maoguo Gong:
SNEGAN: Signed Network Embedding by Using Generative Adversarial Nets. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 136-149 (2022) - [j156]Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello, Anwesh Bhattacharya, Soma S. Dhavala, Sriparna Saha:
AdaSwarm: Augmenting Gradient-Based Optimizers in Deep Learning With Swarm Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 6(2): 329-340 (2022) - [j155]Jamshid Maleki, Zohreh Masoumi, Farshad Hakimpour, Carlos A. Coello Coello:
Many-objective land use planning using a hypercube-based NSGA-III algorithm. Trans. GIS 26(2): 609-644 (2022) - [j154]Lijia Ma, Xiao Zhang, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Asoke K. Nandi:
Enhancing Robustness and Resilience of Multiplex Networks Against Node-Community Cascading Failures. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3808-3821 (2022) - [c309]Daniel Doblas, Antonio J. Nebro, Manuel López-Ibáñez, José García-Nieto, Carlos A. Coello Coello:
Automatic Design of Multi-objective Particle Swarm Optimizers. ANTS Conference 2022: 28-40 - [c308]Ashraf M. Abdelbar, Thomas Humphries, Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
An Extension of the iMOACO$\mathbb {_R}$ Algorithm Based on Layer-Set Selection. ANTS Conference 2022: 266-274 - [c307]Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Interval-based Cost-sensitive Classification Tree Induction as a Bi-level Optimization Problem. CEC 2022: 1-8 - [c306]Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Cost-sensitive classification tree induction as a bi-level optimization problem. GECCO Companion 2022: 284-287 - [c305]Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO Companion 2022: 1310-1333 - [c304]Raquel Hernández Gómez, Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
Considerations in the Incremental Hypervolume Algorithm of the WFG. MICAI (1) 2022: 410-422 - [c303]Diana Cristina Valencia-Rodríguez, Carlos Artemio Coello Coello:
Multi-Objective Evolutionary Algorithm Based on the Linear Assignment Problem and the Hypervolume Approximation Using Polar Coordinates (MOEA-LAPCO). PPSN (2) 2022: 221-233 - [i6]Carlos A. Coello Coello, Marko Djurasevic, Domagoj Jakobovic, Luca Mariot, Stjepan Picek:
Modeling Strong Physically Unclonable Functions with Metaheuristics. CoRR abs/2202.08079 (2022) - 2021
- [j153]Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
A heredity-based adaptive variation operator for reinitialization in dynamic multi-objective problems. Appl. Soft Comput. 101: 107027 (2021) - [j152]Haibo He, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(1): 18-20 (2021) - [j151]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(2): 11-76 (2021) - [j150]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(3): 5-7, 94 (2021) - [j149]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(4): 14-16 (2021) - [j148]Forhad Zaman, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
An evolutionary approach for resource constrained project scheduling with uncertain changes. Comput. Oper. Res. 125: 105104 (2021) - [j147]Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
Indicator-based Multi-objective Evolutionary Algorithms: A Comprehensive Survey. ACM Comput. Surv. 53(2): 29:1-29:35 (2021) - [j146]Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Weighted pointwise prediction method for dynamic multiobjective optimization. Inf. Sci. 546: 349-367 (2021) - [j145]Sumit Mishra, Carlos A. Coello Coello:
A parallel naive approach for non-dominated sorting: a theoretical study considering PRAM CREW model. Soft Comput. 25(1): 73-84 (2021) - [j144]Wu Lin, Qiuzhen Lin, Junkai Ji, Zexuan Zhu, Carlos A. Coello Coello, Ka-Chun Wong:
Decomposition-based multiobjective optimization with bicriteria assisted adaptive operator selection. Swarm Evol. Comput. 60: 100790 (2021) - [j143]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm Evol. Comput. 64: 100888 (2021) - [j142]Ali Ahrari, Saber Mohammed Elsayed, Ruhul Amin Sarker, Daryl Essam, Carlos A. Coello Coello:
A Novel Parametric benchmark generator for dynamic multimodal optimization. Swarm Evol. Comput. 65: 100924 (2021) - [j141]Jesús Guillermo Falcón-Cardona, Raquel Hernández Gómez, Carlos A. Coello Coello, Ma. Guadalupe Castillo Tapia:
Parallel Multi-Objective Evolutionary Algorithms: A Comprehensive Survey. Swarm Evol. Comput. 67: 100960 (2021) - [j140]Jesús L. Llano García, Raúl Monroy, Víctor Adrián Sosa-Hernández, Carlos A. Coello Coello:
COARSE-EMOA: An indicator-based evolutionary algorithm for solving equality constrained multi-objective optimization problems. Swarm Evol. Comput. 67: 100983 (2021) - [j139]Qingling Zhu, Qiuzhen Lin, Jianqiang Li, Carlos A. Coello Coello, Zhong Ming, Jianyong Chen, Jun Zhang:
An Elite Gene Guided Reproduction Operator for Many-Objective Optimization. IEEE Trans. Cybern. 51(2): 765-778 (2021) - [j138]Qiuzhen Lin, Wu Lin, Zexuan Zhu, Maoguo Gong, Jianqiang Li, Carlos A. Coello Coello:
Multimodal Multiobjective Evolutionary Optimization With Dual Clustering in Decision and Objective Spaces. IEEE Trans. Evol. Comput. 25(1): 130-144 (2021) - [j137]Ali Ahrari, Saber Mohammed Elsayed, Ruhul Amin Sarker, Daryl Essam, Carlos A. Coello Coello:
Adaptive Multilevel Prediction Method for Dynamic Multimodal Optimization. IEEE Trans. Evol. Comput. 25(3): 463-477 (2021) - [j136]Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello, Michael Emmerich:
On the Effect of the Cooperation of Indicator-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 25(4): 681-695 (2021) - [c302]Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Modular Analysis and Development of a Genetic Algorithm with Standardized Representation for Resource-Constrained Project Scheduling. CEC 2021: 612-619 - [c301]Amín V. Bernabé Rodríguez, Carlos A. Coello Coello:
An Empirical Study on the Use of the S-energy Performance Indicator in Mating Restriction Schemes for Multi-Objective Optimizers. CEC 2021: 1201-1208 - [c300]Marco Baioletti, Gabriele Di Bari, Valentina Poggioni, Carlos Artemio Coello Coello:
Smart Multi-Objective Evolutionary GAN. CEC 2021: 2218-2225 - [c299]Sumit Mishra, Srinibas Swain, Sangita Sarmah, Carlos A. Coello Coello:
Hypervolume by Slicing Objective Algorithm: An Improved Version. CEC 2021: 2451-2458 - [c298]Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello:
An Ensemble of Scalarizing Functions and Weight Vectors for Evolutionary Multi-Objective Optimization. CEC 2021: 2459-2467 - [c297]Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello:
The Influence of Swarm Topologies in Many-Objective Optimization Problems. EMO 2021: 387-398 - [c296]Jesús Guillermo Falcón-Cardona, Edgar Covantes Osuna, Carlos A. Coello Coello:
An Overview of Pair-Potential Functions for Multi-objective Optimization. EMO 2021: 401-412 - [c295]Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO Companion 2021: 692-714 - [c294]Lucija Planinic, Marko Djurasevic, Luca Mariot, Domagoj Jakobovic, Stjepan Picek, Carlos A. Coello Coello:
On the genotype compression and expansion for evolutionary algorithms in the continuous domain. GECCO Companion 2021: 1208-1216 - [c293]Carlos A. Coello Coello:
Recent Research Topics in Evolutionary Multiobjective Optimization: A Personal Perspective. IJCCI 2021: 9 - [c292]Amín V. Bernabé Rodríguez, Carlos A. Coello Coello:
An Ensemble of S-energy Based Mating Restrictions for Multi-Objective Evolutionary Algorithms. SSCI 2021: 1-8 - [i5]Lucija Planinic, Marko Djurasevic, Luca Mariot, Domagoj Jakobovic, Stjepan Picek, Carlos A. Coello Coello:
On the Genotype Compression and Expansion for Evolutionary Algorithms in the Continuous Domain. CoRR abs/2105.11502 (2021) - [i4]Gilberto Rivera Zárate, Carlos A. Coello Coello, Laura Cruz-Reyes, Eduardo R. Fernández, Claudia Gómez-Santillán, Nelson Rangel-Valdez:
Preference Incorporation into Many-Objective Optimization: An Outranking-based Ant Colony Algorithm. CoRR abs/2107.07121 (2021) - 2020
- [j135]Man-Fai Leung, Carlos Artemio Coello Coello, Chi-Chung Cheung, Sin Chun Ng, Andrew Kwok-Fai Lui:
A Hybrid Leader Selection Strategy for Many-Objective Particle Swarm Optimization. IEEE Access 8: 189527-189545 (2020) - [j134]Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Evolutionary approach for large-Scale mine scheduling. Inf. Sci. 523: 77-90 (2020) - [j133]Victoria S. Aragón, Carlos A. Coello Coello, Mario Guillermo Leguizamón:
A T-cell algorithm for solving dynamic economic power dispatch problems. J. Comput. Sci. Technol. 20(1): 01 (2020) - [j132]Zohreh Masoumi, Carlos A. Coello Coello, Ali Mansourian:
Dynamic urban land-use change management using multi-objective evolutionary algorithms. Soft Comput. 24(6): 4165-4190 (2020) - [j131]Eduardo Fernández-González, Jorge Navarro, Efrain Solares, Carlos A. Coello Coello:
Using evolutionary computation to infer the decision maker's preference model in presence of imperfect knowledge: A case study in portfolio optimization. Swarm Evol. Comput. 54: 100648 (2020) - [j130]Laura Cruz-Reyes, Eduardo Fernández, Julia Patricia Sánchez-Solís, Carlos A. Coello Coello, Claudia Gómez-Santillán:
Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods. Swarm Evol. Comput. 54: 100652 (2020) - [j129]Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming:
Cost-Aware Robust Control of Signed Networks by Using a Memetic Algorithm. IEEE Trans. Cybern. 50(10): 4430-4443 (2020) - [j128]David Guirguis, Nikola Aulig, Renato Picelli, Bo Zhu, Yuqing Zhou, William Vicente, Francesco Iorio, Markus Olhofer, Wojciech Matusik, Carlos Artemio Coello Coello, Kazuhiro Saitou:
Evolutionary Black-Box Topology Optimization: Challenges and Promises. IEEE Trans. Evol. Comput. 24(4): 613-633 (2020) - [j127]Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Mohamed Makhlouf, Lamjed Ben Said:
Approximating Complex Pareto Fronts With Predefined Normal-Boundary Intersection Directions. IEEE Trans. Evol. Comput. 24(5): 809-823 (2020) - [c291]Luis Miguel Antonio, Carlos A. Coello Coello, Mario A. Ramírez Morales, Silvia B. González-Brambila, Josué Figueroa González, Ma. Guadalupe Castillo Tapia:
Coevolutionary Operations for Large Scale Multi-objective Optimization. CEC 2020: 1-8 - [c290]Saber M. Elsayed, Ruhul A. Sarker, Noha M. Hamza, Carlos A. Coello Coello, Efrén Mezura-Montes:
Enhancing Evolutionary Algorithms by Efficient Population Initialization for Constrained Problems. CEC 2020: 1-8 - [c289]Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello:
Riesz s-energy-based Reference Sets for Multi-Objective optimization. CEC 2020: 1-8 - [c288]Sofien Boutaib, Slim Bechikh, Carlos A. Coello Coello, Chih-Cheng Hung, Lamjed Ben Said:
Handling uncertainty in code smells detection using a possibilistic SBSE approach. GECCO Companion 2020: 303-304 - [c287]Marco Baioletti, Carlos Artemio Coello Coello, Gabriele Di Bari, Valentina Poggioni:
Multi-objective evolutionary GAN. GECCO Companion 2020: 1824-1831 - [c286]Amín V. Bernabé Rodríguez, Carlos A. Coello Coello:
Generation of New Scalarizing Functions Using Genetic Programming. PPSN (2) 2020: 3-17 - [c285]Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante, Carlos A. Coello Coello:
Cooperative Co-Evolutionary Genetic Programming for High Dimensional Problems. PPSN (2) 2020: 48-62 - [c284]Jesús Guillermo Falcón-Cardona, Arnaud Liefooghe, Carlos A. Coello Coello:
An Ensemble Indicator-Based Density Estimator for Evolutionary Multi-objective Optimization. PPSN (2) 2020: 201-214 - [c283]Diana Cristina Valencia-Rodríguez, Carlos A. Coello Coello:
A Study of Swarm Topologies and Their Influence on the Performance of Multi-Objective Particle Swarm Optimizers. PPSN (2) 2020: 285-298 - [c282]Oscar Pacheco-Del-Moral, Carlos A. Coello Coello:
A SHADE-Based Algorithm for Large Scale Global Optimization. PPSN (1) 2020: 650-663 - [c281]Jesús Guillermo Falcón-Cardona, Hisao Ishibuchi, Carlos A. Coello Coello:
Exploiting the Trade-off between Convergence and Diversity Indicators. SSCI 2020: 141-148 - [c280]Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Towards a More Practically Sound Formulation of Dynamic Problems and Performance Evaluation of Dynamic Search Methods. SSCI 2020: 1387-1394 - [p21]Raquel Hernández Gómez, Carlos A. Coello Coello, Enrique Alba:
A Parallel Island Model for Hypervolume-Based Many-Objective Optimization. High-Performance Simulation-Based Optimization 2020: 247-273 - [e18]Carlos Artemio Coello Coello:
GECCO '20: Genetic and Evolutionary Computation Conference, Cancún Mexico, July 8-12, 2020. ACM 2020, ISBN 978-1-4503-7128-5 [contents] - [e17]Carlos Artemio Coello Coello:
GECCO '20: Genetic and Evolutionary Computation Conference, Companion Volume, Cancún, Mexico, July 8-12, 2020. ACM 2020, ISBN 978-1-4503-7127-8 [contents]
2010 – 2019
- 2019
- [j126]Adriana Menchaca-Méndez, Elizabeth Montero, Luis Miguel Antonio, Saúl Zapotecas Martínez, Carlos A. Coello Coello, María Cristina Riff:
A Co-Evolutionary Scheme for Multi-Objective Evolutionary Algorithms Based on $\epsilon$ -Dominance. IEEE Access 7: 18267-18283 (2019) - [j125]Yuchao Su, Jia Wang, Lijia Ma, Xiaozhou Wang, Qiuzhen Lin, Carlos A. Coello Coello, Jianyong Chen:
A hybridized angle-encouragement-based decomposition approach for many-objective optimization problems. Appl. Soft Comput. 78: 355-372 (2019) - [j124]Lingjie Li, Qiuzhen Lin, Songbai Liu, Dunwei Gong, Carlos A. Coello Coello, Zhong Ming:
A novel multi-objective immune algorithm with a decomposition-based clonal selection. Appl. Soft Comput. 81 (2019) - [j123]Carlos A. Coello Coello:
IEEE CIS VP-Members Activities Vision Statement [Society Briefs]. IEEE Comput. Intell. Mag. 14(1): 6-7 (2019) - [j122]Sumit Mishra, Carlos A. Coello Coello:
Parallelism in divide-and-conquer non-dominated sorting: a theoretical study considering the PRAM-CREW model. J. Heuristics 25(3): 455-483 (2019) - [j121]Forhad Zaman, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Multi-method based algorithm for multi-objective problems under uncertainty. Inf. Sci. 481: 81-109 (2019) - [j120]Luis Fernando Plata-González, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello:
Evolutionary-based tailoring of synthetic instances for the Knapsack problem. Soft Comput. 23(23): 12711-12728 (2019) - [j119]Sumit Mishra, Sriparna Saha, Samrat Mondal, Carlos A. Coello Coello:
A divide-and-conquer based efficient non-dominated sorting approach. Swarm Evol. Comput. 44: 748-773 (2019) - [j118]Efrain Solares, Carlos A. Coello Coello, Eduardo Fernández, Jorge Navarro:
Handling uncertainty through confidence intervals in portfolio optimization. Swarm Evol. Comput. 44: 774-787 (2019) - [j117]Eduardo Fernández, Jorge Navarro, Efrain Solares, Carlos A. Coello Coello:
A novel approach to select the best portfolio considering the preferences of the decision maker. Swarm Evol. Comput. 46: 140-153 (2019) - [j116]Songbai Liu, Qiuzhen Lin, Ka-Chun Wong, Lijia Ma, Carlos A. Coello Coello, Dunwei Gong:
A novel multi-objective evolutionary algorithm with dynamic decomposition strategy. Swarm Evol. Comput. 48: 182-200 (2019) - [j115]Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
Bio-inspired computation: Where we stand and what's next. Swarm Evol. Comput. 48: 220-250 (2019) - [j114]Wenjian Luo, Mario Pavone, Carlos Artemio Coello Coello, Licheng Jiao, Ramit Mehr:
Foreword: Some advances in Immune Computation and applications. Swarm Evol. Comput. 50 (2019) - [j113]Sumit Mishra, Sriparna Saha, Samrat Mondal, Carlos A. Coello Coello:
Divide-and-conquer based non-dominated sorting with Reduced Comparisons. Swarm Evol. Comput. 51 (2019) - [j112]Saber M. Elsayed, Ruhul A. Sarker, Carlos A. Coello Coello:
Fuzzy Rule-Based Design of Evolutionary Algorithm for Optimization. IEEE Trans. Cybern. 49(1): 301-314 (2019) - [j111]Lijia Ma, Jianqiang Li, Qiuzhen Lin, Maoguo Gong, Carlos A. Coello Coello, Zhong Ming:
Reliable Link Inference for Network Data With Community Structures. IEEE Trans. Cybern. 49(9): 3347-3361 (2019) - [j110]Saúl Zapotecas Martínez, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka:
A Review of Features and Limitations of Existing Scalable Multiobjective Test Suites. IEEE Trans. Evol. Comput. 23(1): 130-142 (2019) - [j109]Qiuzhen Lin, Songbai Liu, Ka-Chun Wong, Maoguo Gong, Carlos A. Coello Coello, Jianyong Chen, Jun Zhang:
A Clustering-Based Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 23(3): 391-405 (2019) - [j108]Wenjun Wang, Shaoqiang Yang, Qiuzhen Lin, Qingfu Zhang, Ka-Chun Wong, Carlos A. Coello Coello, Jianyong Chen:
An Effective Ensemble Framework for Multiobjective Optimization. IEEE Trans. Evol. Comput. 23(4): 645-659 (2019) - [c279]Forhad Zaman, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Evolutionary Algorithm for Project Scheduling under Irregular Resource Changes. CEC 2019: 403-410 - [c278]Sumit Mishra, Carlos A. Coello Coello:
An Approach for Non-domination Level Update Problem in Steady-State Evolutionary Algorithms With Parallelism. CEC 2019: 1006-1013 - [c277]Sumit Mishra, Carlos A. Coello Coello:
Parallel Best Order Sort for Non-dominated Sorting: A Theoretical Study Considering the PRAM-CREW Model. CEC 2019: 1022-1029 - [c276]Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello:
On the Cooperation of Multiple Indicator-based Multi-Objective Evolutionary Algorithms. CEC 2019: 2050-2057 - [c275]Wenjian Luo, Luming Shi, Xin Lin, Carlos A. Coello Coello:
The g̑-dominance Relation for Preference-Based Evolutionary Multi-Objective Optimization. CEC 2019: 2418-2425 - [c274]Saku Kukkonen, Carlos A. Coello Coello:
A Simple and Effective Termination Condition for Both Single- and Multi-Objective Evolutionary Algorithms. CEC 2019: 3053-3059 - [c273]Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello, Michael Emmerich:
CRI-EMOA: A Pareto-Front Shape Invariant Evolutionary Multi-objective Algorithm. EMO 2019: 307-318 - [c272]Luis Miguel Antonio, Carlos A. Coello Coello, Silvia B. González-Brambila, Josué Figueroa González, Ma. Guadalupe Castillo Tapia:
Operational decomposition for large scale multi-objective optimization problems. GECCO (Companion) 2019: 225-226 - [c271]Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2019: 485-506 - [c270]Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
Convergence and diversity analysis of indicator-based multi-objective evolutionary algorithms. GECCO 2019: 524-531 - [c269]Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello:
On the construction of pareto-compliant quality indicators. GECCO (Companion) 2019: 2024-2027 - [c268]Jorge Jiménez Montiel, Carlos A. Coello Coello, Ma. Guadalupe Castillo Tapia:
A Proposal of a Multi-Objective Compact Particle Swarm Optimizer. SSCI 2019: 2269-2278 - [e16]Kalyanmoy Deb, Erik D. Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick M. Reed:
Evolutionary Multi-Criterion Optimization - 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings. Lecture Notes in Computer Science 11411, Springer 2019, ISBN 978-3-030-12597-4 [contents] - 2018
- [j107]Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera:
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. IEEE Comput. Intell. Mag. 13(2): 18-29 (2018) - [j106]Iván Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello:
Enhancing Selection Hyper-Heuristics via Feature Transformations. IEEE Comput. Intell. Mag. 13(2): 30-41 (2018) - [j105]Qiuzhen Lin, Xiaozhou Wang, Bishan Hu, Lijia Ma, Fei Chen, Jianqiang Li, Carlos A. Coello Coello:
Multiobjective Personalized Recommendation Algorithm Using Extreme Point Guided Evolutionary Computation. Complex. 2018: 1716352:1-1716352:18 (2018) - [j104]Stjepan Picek, Carlos A. Coello Coello, Domagoj Jakobovic, Nele Mentens:
Finding short and implementation-friendly addition chains with evolutionary algorithms. J. Heuristics 24(3): 457-481 (2018) - [j103]Qiuzhen Lin, Yueping Ma, Jianyong Chen, Qingling Zhu, Carlos A. Coello Coello, Ka-Chun Wong, Fei Chen:
An adaptive immune-inspired multi-objective algorithm with multiple differential evolution strategies. Inf. Sci. 430: 46-64 (2018) - [j102]Luis Miguel Antonio, José A. Molinet Berenguer, Carlos A. Coello Coello:
Evolutionary many-objective optimization based on linear assignment problem transformations. Soft Comput. 22(16): 5491-5512 (2018) - [j101]Saber M. Elsayed, Ruhul A. Sarker, Carlos A. Coello Coello, Tapabrata Ray:
Adaptation of operators and continuous control parameters in differential evolution for constrained optimization. Soft Comput. 22(19): 6595-6616 (2018) - [j100]Slim Bechikh, Carlos Artemio Coello Coello:
Advances in Evolutionary Multi-objective Optimization. Swarm Evol. Comput. 40: 155-157 (2018) - [j99]Sumit Mishra, Samrat Mondal, Sriparna Saha, Carlos A. Coello Coello:
GBOS: Generalized Best Order Sort algorithm for non-dominated sorting. Swarm Evol. Comput. 43: 244-264 (2018) - [j98]Qiuzhen Lin, Genmiao Jin, Yueping Ma, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen, Jun Zhang:
A Diversity-Enhanced Resource Allocation Strategy for Decomposition-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. 48(8): 2388-2401 (2018) - [j97]Qiuzhen Lin, Songbai Liu, Qingling Zhu, Chaoyu Tang, Ruizhen Song, Jianyong Chen, Carlos A. Coello Coello, Ka-Chun Wong, Jun Zhang:
Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 22(1): 32-46 (2018) - [j96]Luis Miguel Antonio, Carlos A. Coello Coello:
Coevolutionary Multiobjective Evolutionary Algorithms: Survey of the State-of-the-Art. IEEE Trans. Evol. Comput. 22(6): 851-865 (2018) - [c267]Nicolás Rojas-Morales, María Cristina Riff, Carlos A. Coello Coello, Elizabeth Montero:
A Cooperative Opposite-Inspired Learning Strategy for Ant-Based Algorithms. ANTS Conference 2018: 317-324 - [c266]Sumit Mishra, Carlos A. Coello Coello:
P-ENS: Parallelism in Efficient Non-Dominated Sorting. CEC 2018: 1-8 - [c265]Miriam Pescador-Rojas, Carlos A. Coello Coello:
Collaborative and Adaptive Strategies of Different Scalarizing Functions in MOEA/D. CEC 2018: 1-8 - [c264]Miriam Pescador-Rojas, Carlos A. Coello Coello:
Studying the effect of techniques to generate reference vectors in many-objective optimization. GECCO (Companion) 2018: 193-194 - [c263]Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera:
Cooperative multi-objective evolutionary support vector machines for multiclass problems. GECCO 2018: 513-520 - [c262]Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
A multi-objective evolutionary hyper-heuristic based on multiple indicator-based density estimators. GECCO 2018: 633-640 - [c261]Edgar Manoatl López, Carlos A. Coello Coello:
An improved version of a reference-based multi-objective evolutionary algorithm based on IGD+. GECCO 2018: 713-720 - [c260]Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2018: 773-799 - [c259]Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
Towards a more general many-objective evolutionary optimizer using multi-indicator density estimation. GECCO (Companion) 2018: 1890-1893 - [c258]Antonio J. Nebro, Juan José Durillo, José García-Nieto, Cristóbal Barba-González, Javier Del Ser, Carlos A. Coello Coello, Antonio Benítez-Hidalgo, José Francisco Aldana Montes:
Extending the Speed-Constrained Multi-objective PSO (SMPSO) with Reference Point Based Preference Articulation. PPSN (1) 2018: 298-310 - [c257]Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
Towards a More General Many-objective Evolutionary Optimizer. PPSN (1) 2018: 335-346 - [c256]Edgar Manoatl López, Carlos A. Coello Coello:
Use of Reference Point Sets in a Decomposition-Based Multi-Objective Evolutionary Algorithm. PPSN (1) 2018: 372-383 - [c255]Iván Amaya, José Carlos Ortiz-Bayliss, Santiago Enrique Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello:
Tailoring Instances of the 1D Bin Packing Problem for Assessing Strengths and Weaknesses of Its Solvers. PPSN (2) 2018: 373-384 - [c254]Miriam Pescador-Rojas, Denis Pallez, Carlos Ignacio Hernandez Castellanos, Carlos A. Coello Coello:
Studying the Effect of Robustness Measures in Offline Parameter Tuning for Estimating the Performance of MOEA/D. SSCI 2018: 204-211 - [c253]Ashraf M. Abdelbar, Khalid M. Salama, Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
An Adaptive Recombination-Based Extension of the iMOACOR Algorithm. SSCI 2018: 735-742 - [r1]Carlos A. Coello Coello:
Multi-objective Optimization. Handbook of Heuristics 2018: 177-204 - [i3]Iván Amaya, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello:
Enhancing Selection Hyper-heuristics via Feature Transformations. CoRR abs/1812.05070 (2018) - 2017
- [j95]Laura Cruz-Reyes, Eduardo Fernández, Patricia Sanchez, Carlos A. Coello Coello, Claudia Gómez-Santillán:
Incorporation of implicit decision-maker preferences in multi-objective evolutionary optimization using a multi-criteria classification method. Appl. Soft Comput. 50: 48-57 (2017) - [j94]Carlos A. Coello Coello, Vincenzo Cutello, Doheon Lee, Mario Pavone:
Recent advances in immunological inspired computation. Eng. Appl. Artif. Intell. 62: 302-303 (2017) - [j93]Saber M. Elsayed, Mahidur R. Sarker, Tapabrata Ray, Carlos A. Coello Coello:
Consolidated optimization algorithm for resource-constrained project scheduling problems. Inf. Sci. 418: 346-362 (2017) - [j92]Adriana Menchaca-Méndez, Carlos A. Coello Coello:
An alternative hypervolume-based selection mechanism for multi-objective evolutionary algorithms. Soft Comput. 21(4): 861-884 (2017) - [j91]Alan Díaz-Manríquez, Gregorio Toscano Pulido, Carlos A. Coello Coello:
Comparison of metamodeling techniques in evolutionary algorithms. Soft Comput. 21(19): 5647-5663 (2017) - [j90]Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
A new indicator-based many-objective ant colony optimizer for continuous search spaces. Swarm Intell. 11(1): 71-100 (2017) - [j89]Qingling Zhu, Qiuzhen Lin, Wei-Neng Chen, Ka-Chun Wong, Carlos A. Coello Coello, Jianqiang Li, Jianyong Chen, Jun Zhang:
An External Archive-Guided Multiobjective Particle Swarm Optimization Algorithm. IEEE Trans. Cybern. 47(9): 2794-2808 (2017) - [j88]Saber M. Elsayed, Ruhul A. Sarker, Carlos A. Coello Coello:
Sequence-Based Deterministic Initialization for Evolutionary Algorithms. IEEE Trans. Cybern. 47(9): 2911-2923 (2017) - [j87]Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello, Francisco Herrera:
An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles. IEEE Trans. Evol. Comput. 21(6): 863-877 (2017) - [c252]Iván Amaya, José Carlos Ortiz-Bayliss, Andrés Eduardo Gutiérrez-Rodríguez, Hugo Terashima-Marín, Carlos A. Coello Coello:
Improving hyper-heuristic performance through feature transformation. CEC 2017: 2614-2621 - [c251]Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín, Carlos A. Coello Coello:
Evolutionary multilabel hyper-heuristic design. CEC 2017: 2622-2629 - [c250]Andrés Eduardo Gutiérrez-Rodríguez, José Carlos Ortiz-Bayliss, Alejandro Rosales-Pérez, Ivan M. Amaya-Contreras, Santiago E. Conant-Pablos, Hugo Terashima-Marín, Carlos A. Coello Coello:
Applying automatic heuristic-filtering to improve hyper-heuristic performance. CEC 2017: 2638-2644 - [c249]Edgar Manoatl López, Carlos A. Coello Coello:
Improving the integration of the IGD+ indicator into the selection mechanism of a Multi-objective Evolutionary Algorithm. CEC 2017: 2683-2690 - [c248]Miriam Pescador-Rojas, Raquel Hernández Gómez, Elizabeth Montero, Nicolás Rojas-Morales, María Cristina Riff, Carlos A. Coello Coello:
An Overview of Weighted and Unconstrained Scalarizing Functions. EMO 2017: 499-513 - [c247]Rebeka Coric, Stjepan Picek, Domagoj Jakobovic, Carlos A. Coello Coello:
On the mutual information as a fitness landscape measure. GECCO (Companion) 2017: 165-166 - [c246]Raquel Hernández Gómez, Carlos A. Coello Coello:
A hyper-heuristic of scalarizing functions. GECCO 2017: 577-584 - [c245]Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2017: 675-701 - [c244]Carlos A. Coello Coello:
Recent Results and Open Problems in Evolutionary Multiobjective Optimization. TPNC 2017: 3-21 - 2016
- [j86]Carlos Segura, Carlos A. Coello Coello, Gara Miranda, Coromoto León:
Using multi-objective evolutionary algorithms for single-objective constrained and unconstrained optimization. Ann. Oper. Res. 240(1): 217-250 (2016) - [j85]Francisco Luna, Gustavo R. Zavala, Antonio J. Nebro, Juan José Durillo, Carlos A. Coello Coello:
Distributed Multi-Objective Metaheuristics for Real-World Structural Optimization Problems. Comput. J. 59(6): 777-792 (2016) - [j84]Oliver Schütze, Adanay Martín, Adriana Lara, Sergio Alvarado, Eduardo Salinas, Carlos A. Coello Coello:
The directed search method for multi-objective memetic algorithms. Comput. Optim. Appl. 63(2): 305-332 (2016) - [j83]Julio Barrera, Osiris Álvarez Bajo, Juan J. Flores, Carlos A. Coello Coello:
Limiting the Velocity in the Particle Swarm Optimization Algorithm. Computación y Sistemas 20(4) (2016) - [j82]Alejandro Rosales-Pérez, Jesús A. González, Carlos A. Coello Coello, Carlos A. Reyes García, Hugo Jair Escalante:
EMOPG+FS: Evolutionary multi-objective prototype generation and feature selection. Intell. Data Anal. 20(s1): S37-S51 (2016) - [j81]Adriana Menchaca-Méndez, Carlos A. Coello Coello:
Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems. Inf. Sci. 332: 131-152 (2016) - [j80]Qiuzhen Lin, Zhiwang Liu, Qiao Yan, Zhihua Du, Carlos A. Coello Coello, Zhengping Liang, Wenjun Wang, Jianyong Chen:
Adaptive composite operator selection and parameter control for multiobjective evolutionary algorithm. Inf. Sci. 339: 332-352 (2016) - [j79]Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo, Arturo Hernández Aguirre:
A Novel Diversity-Based Replacement Strategy for Evolutionary Algorithms. IEEE Trans. Cybern. 46(12): 3233-3246 (2016) - [j78]Qiuzhen Lin, Jianyong Chen, Zhi-Hui Zhan, Wei-Neng Chen, Carlos A. Coello Coello, Yilong Yin, Chih-Min Lin, Jun Zhang:
A Hybrid Evolutionary Immune Algorithm for Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 20(5): 711-729 (2016) - [c243]Luis Miguel Antonio, Carlos A. Coello Coello:
Indicator-based cooperative coevolution for multi-objective optimization. CEC 2016: 991-998 - [c242]Edgar Manoatl López, Carlos A. Coello Coello:
IGD+-EMOA: A multi-objective evolutionary algorithm based on IGD+. CEC 2016: 999-1006 - [c241]Adriana Menchaca-Méndez, Carlos Ignacio Hernandez Castellanos, Carlos A. Coello Coello:
Δp-MOEA: A new multi-objective evolutionary algorithm based on the Δp indicator. CEC 2016: 3753-3760 - [c240]Saber M. Elsayed, Ruhul A. Sarker, Carlos A. Coello Coello:
Enhanced multi-operator differential evolution for constrained optimization. CEC 2016: 4191-4198 - [c239]Saku Kukkonen, Carlos A. Coello Coello:
Applying exponential weighting moving average control parameter adaptation technique with generalized differential evolution. CEC 2016: 4755-4762 - [c238]Stjepan Picek, Carlos A. Coello Coello, Domagoj Jakobovic, Nele Mentens:
Evolutionary Algorithms for Finding Short Addition Chains: Going the Distance. EvoCOP 2016: 121-137 - [c237]Carlos A. Coello Coello:
Constraint-Handling Techniques used with Evolutionary Algorithms. GECCO (Companion) 2016: 563-587 - [c236]Raquel Hernández Gómez, Carlos A. Coello Coello, Enrique Alba Torres:
A Multi-Objective Evolutionary Algorithm based on Parallel Coordinates. GECCO 2016: 565-572 - [c235]Raquel Hernández Gómez, Carlos A. Coello Coello:
Parallel SMS-EMOA for Many-Objective Optimization Problems. GECCO (Companion) 2016: 1011-1014 - [c234]Jesús Guillermo Falcón-Cardona, Carlos A. Coello Coello:
iMOACO _\mathbb R : A New Indicator-Based Multi-objective Ant Colony Optimization Algorithm for Continuous Search Spaces. PPSN 2016: 389-398 - [c233]Edgar Manoatl López, Carlos A. Coello Coello:
A Parallel Multi-objective Memetic Algorithm Based on the IGD+ Indicator. PPSN 2016: 473-482 - [c232]Luis Miguel Antonio, Carlos A. Coello Coello:
Decomposition-Based Approach for Solving Large Scale Multi-objective Problems. PPSN 2016: 525-534 - [c231]Raquel Hernández Gómez, Carlos A. Coello Coello, Enrique Alba:
A Parallel Version of SMS-EMOA for Many-Objective Optimization Problems. PPSN 2016: 568-577 - [c230]Miriam Pescador-Rojas, Carlos A. Coello Coello:
A novel local search mechanism based on the reflected ray tracing method coupled to MOEA/D. SSCI 2016: 1-8 - 2015
- [j77]Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante, Carlos A. Reyes García:
Surrogate-assisted multi-objective model selection for support vector machines. Neurocomputing 150: 163-172 (2015) - [j76]Victoria S. Aragón, Susana C. Esquivel, Carlos A. Coello Coello:
An immune algorithm with power redistribution for solving economic dispatch problems. Inf. Sci. 295: 609-632 (2015) - [j75]Carlos Segura, Carlos A. Coello Coello, Alfredo García Hernández-Díaz:
Improving the vector generation strategy of Differential Evolution for large-scale optimization. Inf. Sci. 323: 106-129 (2015) - [j74]Carlos A. Coello Coello, Giuditta Franco, Natalio Krasnogor, Mario Pavone:
Algorithms and models for complex natural systems. Nat. Comput. 14(3): 339-340 (2015) - [j73]Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo, Coromoto León:
On the adaptation of the mutation scale factor in differential evolution. Optim. Lett. 9(1): 189-198 (2015) - [c229]Luis Miguel Antonio, Carlos A. Coello Coello:
A Non-cooperative game for faster convergence in cooperative coevolution for multi-objective optimization. CEC 2015: 109-116 - [c228]Adriana Menchaca-Méndez, Carlos A. Coello Coello:
GDE-MOEA: A new MOEA based on the Generational Distance indicator and ε-dominance. CEC 2015: 947-955 - [c227]Saúl Zapotecas Martínez, Hernán E. Aguirre, Kiyoshi Tanaka, Carlos A. Coello Coello:
On the low-discrepancy sequences and their use in MOEA/D for high-dimensional objective spaces. CEC 2015: 2835-2842 - [c226]José A. Molinet Berenguer, Carlos A. Coello Coello:
Evolutionary Many-Objective Optimization Based on Kuhn-Munkres' Algorithm. EMO (2) 2015: 3-17 - [c225]Edgar Manoatl López, Luis Miguel Antonio, Carlos A. Coello Coello:
A GPU-Based Algorithm for a Faster Hypervolume Contribution Computation. EMO (2) 2015: 80-94 - [c224]Adriana Menchaca-Méndez, Carlos A. Coello Coello:
GD-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Generational Distance Indicator. EMO (1) 2015: 156-170 - [c223]Luis Miguel Antonio, Carlos Artemio Coello Coello:
Particle Swarm Optimization Based on Linear Assignment Problem Transformations. GECCO 2015: 57-64 - [c222]Carlos Artemio Coello Coello:
Constraint-Handling Techniques used with Evolutionary Algorithms. GECCO (Companion) 2015: 367-389 - [c221]Raquel Hernández Gómez, Carlos A. Coello Coello:
Improved Metaheuristic Based on the R2 Indicator for Many-Objective Optimization. GECCO 2015: 679-686 - [c220]Saku Kukkonen, Carlos A. Coello Coello:
Generalized Differential Evolution for Numerical and Evolutionary Optimization. NEO 2015: 253-279 - [p20]Antonio López Jaimes, Carlos A. Coello Coello:
Many-Objective Problems: Challenges and Methods. Handbook of Computational Intelligence 2015: 1033-1046 - [e15]António Gaspar-Cunha, Carlos Henggeler Antunes, Carlos A. Coello Coello:
Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 -April 1, 2015. Proceedings, Part I. Lecture Notes in Computer Science 9018, Springer 2015, ISBN 978-3-319-15933-1 [contents] - [e14]António Gaspar-Cunha, Carlos Henggeler Antunes, Carlos A. Coello Coello:
Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimarães, Portugal, March 29 -April 1, 2015. Proceedings, Part II. Lecture Notes in Computer Science 9019, Springer 2015, ISBN 978-3-319-15891-4 [contents] - 2014
- [j72]Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello, Juan M. Ramirez:
Decomposition-based modern metaheuristic algorithms for multi-objective optimal power flow - A comparative study. Eng. Appl. Artif. Intell. 32: 10-20 (2014) - [j71]Alejandro Rosales-Pérez, Jesus A. Gonzalez, Carlos A. Coello Coello, Hugo Jair Escalante, Carlos A. Reyes García:
Multi-objective model type selection. Neurocomputing 146: 83-94 (2014) - [j70]Antonio López Jaimes, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka:
Objective space partitioning using conflict information for solving many-objective problems. Inf. Sci. 268: 305-327 (2014) - [j69]Isolina Alberto, Carlos A. Coello Coello, Pedro M. Mateo:
A comparative study of variation operators used for evolutionary multi-objective optimization. Inf. Sci. 273: 33-48 (2014) - [j68]Antonio López Jaimes, Carlos A. Coello Coello:
Including preferences into a multiobjective evolutionary algorithm to deal with many-objective engineering optimization problems. Inf. Sci. 277: 1-20 (2014) - [j67]Alejandro Rosales-Pérez, Jesús A. González, Carlos A. Reyes García, Carlos A. Coello Coello:
Towards a Surrogate-Assisted Multi-Objective Full Model Selection. Res. Comput. Sci. 71: 95-105 (2014) - [j66]Sanghamitra Bandyopadhyay, Ujjwal Maulik, Carlos Artemio Coello Coello, Witold Pedrycz:
Guest Editorial: Special Issue on Advances in Multiobjective Evolutionary Algorithms for Data Mining. IEEE Trans. Evol. Comput. 18(1): 1-3 (2014) - [j65]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Carlos Artemio Coello Coello:
A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I. IEEE Trans. Evol. Comput. 18(1): 4-19 (2014) - [j64]Anirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay, Carlos A. Coello Coello:
Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part II. IEEE Trans. Evol. Comput. 18(1): 20-35 (2014) - [c219]Ivan Chaman Garcia, Carlos A. Coello Coello, Alfredo Arias-Montano:
MOPSOhv: A new hypervolume-based multi-objective particle swarm optimizer. IEEE Congress on Evolutionary Computation 2014: 266-273 - [c218]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A multi-objective evolutionary algorithm based on decomposition for constrained multi-objective optimization. IEEE Congress on Evolutionary Computation 2014: 429-436 - [c217]Carlos Segura, Carlos A. Coello Coello, Eduardo Segredo, Coromoto León:
An analysis of the automatic adaptation of the crossover rate in differential evolution. IEEE Congress on Evolutionary Computation 2014: 459-466 - [c216]Alejandro Rosales-Pérez, Hugo Jair Escalante, Carlos A. Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes García:
An evolutionary multi-objective approach for prototype generation. IEEE Congress on Evolutionary Computation 2014: 1100-1107 - [c215]Adriana Menchaca-Méndez, Carlos A. Coello Coello:
MD-MOEA : A new MOEA based on the maximin fitness function and Euclidean distances between solutions. IEEE Congress on Evolutionary Computation 2014: 2148-2155 - [c214]Subhodip Biswas, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Carlos A. Coello Coello:
Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functions. IEEE Congress on Evolutionary Computation 2014: 3192-3199 - [c213]Carlos A. Coello Coello:
An Introduction to Evolutionary Multi-objective Optimization with Some Applications in Pattern Recognition. CIARP 2014: 1-13 - [c212]Alejandro Rosales-Pérez, Jesús A. González, Carlos A. Coello Coello, Carlos A. Reyes García, Hugo Jair Escalante:
Evolutionary Multi-Objective Approach for Prototype Generation and Feature Selection. CIARP 2014: 424-431 - [c211]Saúl Zapotecas Martínez, Alfredo Arias Montaño, Carlos A. Coello Coello:
Constrained multi-objective aerodynamic shape optimization via swarm intelligence. GECCO 2014: 81-88 - [c210]Carlos Artemio Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2014: 535-558 - [c209]Adriana Menchaca-Méndez, Elizabeth Montero, María Cristina Riff, Carlos A. Coello Coello:
A More Efficient Selection Scheme in iSMS-EMOA. IBERAMIA 2014: 371-380 - [c208]Adriana Menchaca-Méndez, Carlos A. Coello Coello:
MH-MOEA: A New Multi-Objective Evolutionary Algorithm Based on the Maximin Fitness Function and the Hypervolume Indicator. PPSN 2014: 652-661 - [c207]Saúl Zapotecas Martínez, Víctor Adrián Sosa-Hernández, Hernán E. Aguirre, Kiyoshi Tanaka, Carlos A. Coello Coello:
Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem. PPSN 2014: 682-691 - [c206]Jesus Moises Osorio Velazquez, Carlos A. Coello Coello, Alfredo Arias-Montano:
Multi-objective compact differential evolution. SDE 2014: 49-56 - [e13]Oliver Schuetze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand:
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III [EVOLVE 2012, Mexico City, Mexico, August 7-9, 2012, selection of extended papers]. Studies in Computational Intelligence 500, Springer 2014, ISBN 978-3-319-01459-3 [contents] - [e12]Ying Tan, Yuhui Shi, Carlos A. Coello Coello:
Advances in Swarm Intelligence - 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part I. Lecture Notes in Computer Science 8794, Springer 2014, ISBN 978-3-319-11856-7 [contents] - [e11]Ying Tan, Yuhui Shi, Carlos A. Coello Coello:
Advances in Swarm Intelligence - 5th International Conference, ICSI 2014, Hefei, China, October 17-20, 2014, Proceedings, Part II. Lecture Notes in Computer Science 8795, Springer 2014, ISBN 978-3-319-11896-3 [contents] - 2013
- [j63]Carlos Segura, Carlos A. Coello Coello, Gara Miranda, Coromoto León:
Using multi-objective evolutionary algorithms for single-objective optimization. 4OR 11(3): 201-228 (2013) - [j62]Carlos A. Coello Coello:
Guest editorial: Special issue - revised selected papers of the LION 5 conference. Ann. Math. Artif. Intell. 68(4): 195-196 (2013) - [j61]Antonin Ponsich, Carlos A. Coello Coello:
A hybrid Differential Evolution - Tabu Search algorithm for the solution of Job-Shop Scheduling Problems. Appl. Soft Comput. 13(1): 462-474 (2013) - [j60]Eduardo Vázquez-Fernández, Carlos A. Coello Coello, Feliu Davino Sagols Troncoso:
An evolutionary algorithm with a history mechanism for tuning a chess evaluation function. Appl. Soft Comput. 13(7): 3234-3247 (2013) - [j59]Carlos A. Coello Coello:
Conference Report for 2013 IEEE Congress on Evolutionary Computation (IEEE CEC 2013) [Conference Reports]. IEEE Comput. Intell. Mag. 8(4): 8-9 (2013) - [j58]Eduardo Fernández, Edy Lopez, Gustavo Mazcorro, Rafael Olmedo, Carlos A. Coello Coello:
Application of the non-outranked sorting genetic algorithm to public project portfolio selection. Inf. Sci. 228: 131-149 (2013) - [j57]Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Oliver Schütze, Carlos A. Coello Coello, Pierre Del Moral:
Special issue on evolutionary computing and complex systems. Soft Comput. 17(6): 909-912 (2013) - [j56]Antonin Ponsich, Antonio López Jaimes, Carlos A. Coello Coello:
A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and Other Finance and Economics Applications. IEEE Trans. Evol. Comput. 17(3): 321-344 (2013) - [c205]Francisco Luna, Gustavo R. Zavala, Antonio J. Nebro, Juan José Durillo, Carlos A. Coello Coello:
Solving a Real-World Structural Optimization Problem with a Distributed SMS-EMOA Algorithm. 3PGCIC 2013: 600-605 - [c204]Antonio J. Nebro, Juan José Durillo, Mirialys Machin Navas, Carlos A. Coello Coello, Bernabé Dorronsoro:
A Study of the Combination of Variation Operators in the NSGA-II Algorithm. CAEPIA 2013: 269-278 - [c203]Ricardo Landa Becerra, Carlos Artemio Coello Coello, Gregorio Toscano Pulido:
Goal-constraint: Incorporating preferences through an evolutionary ε-constraint based method. IEEE Congress on Evolutionary Computation 2013: 741-747 - [c202]Adriana Menchaca-Méndez, Carlos Artemio Coello Coello:
A new selection mechanism based on hypervolume and its locality property. IEEE Congress on Evolutionary Computation 2013: 924-931 - [c201]Eduardo Vázquez-Fernández, Carlos Artemio Coello Coello:
An adaptive evolutionary algorithm based on tactical and positional chess problems to adjust the weights of a chess engine. IEEE Congress on Evolutionary Computation 2013: 1395-1402 - [c200]Alan Díaz-Manríquez, Gregorio Toscano Pulido, Carlos Artemio Coello Coello, Ricardo Landa Becerra:
A ranking method based on the R2 indicator for many-objective optimization. IEEE Congress on Evolutionary Computation 2013: 1523-1530 - [c199]Kunal Pal, Chiranjib Saha, Swagatam Das, Carlos Artemio Coello Coello:
Dynamic Constrained Optimization with offspring repair based Gravitational Search Algorithm. IEEE Congress on Evolutionary Computation 2013: 2414-2421 - [c198]Raquel Hernández Gómez, Carlos Artemio Coello Coello:
MOMBI: A new metaheuristic for many-objective optimization based on the R2 indicator. IEEE Congress on Evolutionary Computation 2013: 2488-2495 - [c197]Alejandro Rosales-Pérez, Carlos Artemio Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes García, Hugo Jair Escalante:
A hybrid surrogate-based approach for evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2013: 2548-2555 - [c196]Saúl Zapotecas Martínez, Carlos Artemio Coello Coello:
Combining surrogate models and local search for dealing with expensive multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2013: 2572-2579 - [c195]Luis Miguel Antonio, Carlos A. Coello Coello:
Use of cooperative coevolution for solving large scale multiobjective optimization problems. IEEE Congress on Evolutionary Computation 2013: 2758-2765 - [c194]Antonio J. Nebro, Juan José Durillo, Carlos Artemio Coello Coello:
Analysis of leader selection strategies in a multi-objective Particle Swarm Optimizer. IEEE Congress on Evolutionary Computation 2013: 3153-3160 - [c193]Carlos Segura, Carlos Artemio Coello Coello, Eduardo Segredo, Gara Miranda, Coromoto León:
Improving the diversity preservation of multi-objective approaches used for single-objective optimization. IEEE Congress on Evolutionary Computation 2013: 3198-3205 - [c192]Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello, Juan M. Ramirez:
Two decomposition-based modem metaheuristic algorithms for multi-objective optimization - A comparative study. MCDM 2013: 9-16 - [c191]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A hybridization of MOEA/D with the nonlinear simplex search algorithm. MCDM 2013: 48-55 - [c190]Adriana Menchaca-Méndez, Carlos A. Coello Coello:
Selection Operators Based on Maximin Fitness Function for Multi-Objective Evolutionary Algorithms. EMO 2013: 215-229 - [c189]Antonio López Jaimes, Carlos A. Coello Coello, Akira Oyama, Kozo Fujii:
An Alternative Preference Relation to Deal with Many-Objective Optimization Problems. EMO 2013: 291-306 - [c188]Carlos Artemio Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2013: 521-544 - [c187]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
MOEA/D assisted by rbf networks for expensive multi-objective optimization problems. GECCO 2013: 1405-1412 - [c186]Alejandro Rosales-Pérez, Hugo Jair Escalante, Jesus A. Gonzalez, Carlos A. Reyes García, Carlos Artemio Coello Coello:
Bias and Variance Multi-objective Optimization for Support Vector Machines Model Selection. IbPRIA 2013: 108-116 - [c185]Carlos A. Coello Coello, Norma Patricia Munoz Sevilla, Alexander Poznyak Gorbatch, Mariano Gamboa-Zúñiga, Jose Antonio Moreno-Cadenas:
Introduction. CCE 2013: 1-2 - [c184]Juan Carlos Gómez, Fernando Hernández, Carlos A. Coello Coello, Guillermo Ronquillo-Lomelí, Antonio Trejo:
Flame Classification through the Use of an Artificial Neural Network Trained with a Genetic Algorithm. MICAI (2) 2013: 172-184 - [p19]Victoria S. Aragón, Susana C. Esquivel, Carlos A. Coello Coello:
Artificial Immune System for Solving Dynamic Constrained Optimization Problems. Metaheuristics for Dynamic Optimization 2013: 225-263 - [p18]Adriana Lara, Oliver Schütze, Carlos A. Coello Coello:
On Gradient-Based Local Search to Hybridize Multi-objective Evolutionary Algorithms. EVOLVE 2013: 305-332 - [e10]Oliver Schütze, Carlos A. Coello Coello, Alexandru-Adrian Tantar, Emilia Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand:
EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, EVOLVE 2012, Mexico City, Mexico, August 7-9, 2012, Proceedings. Advances in Intelligent Systems and Computing 175, Springer 2013, ISBN 978-3-642-31518-3 [contents] - [e9]Emilia Tantar, Alexandru-Adrian Tantar, Pascal Bouvry, Pierre Del Moral, Pierrick Legrand, Carlos A. Coello Coello, Oliver Schütze:
EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation. Studies in Computational Intelligence 447, Springer 2013, ISBN 978-3-642-32725-4 [contents] - 2012
- [j55]Mario Pavone, Carlos A. Coello Coello:
Optimization on complex systems. Memetic Comput. 4(3): 163-164 (2012) - [j54]José L. Risco-Martín, Juan Lanchares, Carlos A. Coello Coello:
Special issue on evolutionary computation on general purpose graphics processing units. Soft Comput. 16(2): 185-186 (2012) - [j53]Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello:
Using the Averaged Hausdorff Distance as a Performance Measure in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 16(4): 504-522 (2012) - [j52]Alfredo Arias Montaño, Carlos A. Coello Coello, Efrén Mezura-Montes:
Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering. IEEE Trans. Evol. Comput. 16(5): 662-694 (2012) - [c183]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A direct local search mechanism for decomposition-based multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c182]Adriana Menchaca-Méndez, Carlos A. Coello Coello:
Solving multi-objective optimization problems using differential evolution and a maximin selection criterion. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c181]Alfredo Arias Montaño, Carlos A. Coello Coello, Efrén Mezura-Montes:
Multi-objective airfoil shape optimization using a multiple-surrogate approach. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c180]Subhrajit Roy, Saúl Zapotecas Martínez, Carlos A. Coello Coello, Soumyadip Sengupta:
A Multi-Objective Evolutionary approach for linear antenna array design and synthesis. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c179]Eduardo Vázquez-Fernández, Carlos A. Coello Coello, Feliu Davino Sagols Troncoso:
An evolutionary algorithm coupled with the Hooke-Jeeves algorithm for tuning a chess evaluation function. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c178]Adriana Lara, Sergio Alvarado, Shaul Salomon, Gideon Avigad, Carlos A. Coello Coello, Oliver Schütze:
The Gradient Free Directed Search Method as Local Search within Multi-Objective Evolutionary Algorithms. EVOLVE 2012: 153-168 - [c177]José Carlos Villela Tinoco, Carlos A. Coello Coello:
hypDE: A Hyper-Heuristic Based on Differential Evolution for Solving Constrained Optimization Problems. EVOLVE 2012: 267-282 - [c176]Cynthia A. Rodríguez Villalobos, Carlos A. Coello Coello:
A new multi-objective evolutionary algorithm based on a performance assessment indicator. GECCO 2012: 505-512 - [c175]Carlos Artemio Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2012: 849-872 - [c174]Thomas Pierrard, Carlos A. Coello Coello:
A Multi-Objective Artificial Immune System Based on Hypervolume. ICARIS 2012: 14-27 - [c173]Hiroyuki Sato, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka:
Adaptive Control of the Number of Crossed Genes in Many-Objective Evolutionary Optimization. LION 2012: 478-484 - [c172]Elizabeth Montero, María Cristina Riff, Leslie Pérez Cáceres, Carlos A. Coello Coello:
Are State-of-the-Art Fine-Tuning Algorithms Able to Detect a Dummy Parameter? PPSN (1) 2012: 306-315 - [c171]Hiroyuki Sato, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka:
Dynamic control of the number of crossed genes in evolutionary many-objective optimization. SCIS&ISIS 2012: 1435-1440 - [p17]Mohsen Davarynejad, Jos L. M. Vrancken, Jan van den Berg, Carlos A. Coello Coello:
A Fitness Granulation Approach for Large-Scale Structural Design Optimization. Variants of Evolutionary Algorithms for Real-World Applications 2012: 245-280 - [e8]Carlos A. Coello Coello, Julie Greensmith, Natalio Krasnogor, Pietro Liò, Giuseppe Nicosia, Mario Pavone:
Artificial Immune Systems - 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012. Proceedings. Lecture Notes in Computer Science 7597, Springer 2012, ISBN 978-3-642-33756-7 [contents] - [e7]Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone:
Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7491, Springer 2012, ISBN 978-3-642-32936-4 [contents] - [e6]Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone:
Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7492, Springer 2012, ISBN 978-3-642-32963-0 [contents] - 2011
- [j51]Carlos Soza, Ricardo Landa Becerra, María Cristina Riff, Carlos A. Coello Coello:
Solving timetabling problems using a cultural algorithm. Appl. Soft Comput. 11(1): 337-344 (2011) - [j50]Antonin Ponsich, Carlos Artemio Coello Coello:
Differential Evolution performances for the solution of mixed-integer constrained process engineering problems. Appl. Soft Comput. 11(1): 399-409 (2011) - [j49]D. A. Bloch, Carlos A. Coello Coello:
Smiling at evolution. Appl. Soft Comput. 11(8): 5724-5734 (2011) - [j48]Edgar Alfredo Portilla-Flores, Efrén Mezura-Montes, Jaime Álvarez-Gallegos, Carlos Artemio Coello Coello, Carlos Alberto Cruz Villar, Miguel Gabriel Villarreal-Cervantes:
Parametric reconfiguration improvement in non-iterative concurrent mechatronic design using an evolutionary-based approach. Eng. Appl. Artif. Intell. 24(5): 757-771 (2011) - [j47]Eduardo Fernández, Edy Lopez, Fernando López Irarragorri, Carlos A. Coello Coello:
Increasing selective pressure towards the best compromise in evolutionary multiobjective optimization: The extended NOSGA method. Inf. Sci. 181(1): 44-56 (2011) - [j46]Alfredo García Hernández-Díaz, Luis V. Santana-Quintero, Carlos A. Coello Coello, Julián Molina Luque, Rafael Caballero:
Improving the efficiency of ϵ-dominance based grids. Inf. Sci. 181(15): 3101-3129 (2011) - [j45]Victoria S. Aragón, Susana C. Esquivel, Carlos A. Coello Coello:
A T-cell algorithm for solving dynamic optimization problems. Inf. Sci. 181(17): 3614-3637 (2011) - [j44]Oliver Schütze, Massimiliano Vasile, Carlos A. Coello Coello:
Computing the Set of Epsilon-Efficient Solutions in Multiobjective Space Mission Design. J. Aerosp. Comput. Inf. Commun. 8(3): 53-70 (2011) - [j43]Luis Martí, Jesús García, Antonio Berlanga, Carlos A. Coello Coello, José M. Molina:
MB-GNG: Addressing drawbacks in multi-objective optimization estimation of distribution algorithms. Oper. Res. Lett. 39(2): 150-154 (2011) - [j42]Efrén Mezura-Montes, Carlos A. Coello Coello:
Constraint-handling in nature-inspired numerical optimization: Past, present and future. Swarm Evol. Comput. 1(4): 173-194 (2011) - [j41]Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Carlos Artemio Coello Coello:
Guest Editorial Special Issue on Differential Evolution. IEEE Trans. Evol. Comput. 15(1): 1-3 (2011) - [j40]Oliver Schütze, Adriana Lara, Carlos A. Coello Coello:
On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem. IEEE Trans. Evol. Comput. 15(4): 444-455 (2011) - [j39]Carlos A. Coello Coello:
Evolutionary multiobjective optimization. WIREs Data Mining Knowl. Discov. 1(5): 444-447 (2011) - [c170]Jorge Sebastian Hernández-Domínguez, Gregorio Toscano Pulido, Carlos A. Coello Coello:
A Multi-objective Particle Swarm Optimizer Enhanced with a Differential Evolution Scheme. Artificial Evolution 2011: 169-180 - [c169]Eduardo Vázquez-Fernández, Carlos A. Coello Coello, Feliu Davino Sagols Troncoso:
An evolutionary algorithm for tuning a chess evaluation function. IEEE Congress on Evolutionary Computation 2011: 842-848 - [c168]Antonio López Jaimes, Alfredo Arias Montaño, Carlos A. Coello Coello:
Preference incorporation to solve many-objective airfoil design problems. IEEE Congress on Evolutionary Computation 2011: 1605-1612 - [c167]Guillermo Leguizamón, Carlos A. Coello Coello:
A Multi-Region Differential Evolution approach for continuous optimization problems. IEEE Congress on Evolutionary Computation 2011: 1934-1940 - [c166]Mohsen Davarynejad, Jafar Rezaei, Jos L. M. Vrancken, Jan van den Berg, Carlos A. Coello Coello:
Accelerating convergence towards the optimal pareto front. IEEE Congress on Evolutionary Computation 2011: 2107-2114 - [c165]Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello, Eduardo Rodriguez-Tello:
Effective ranking + speciation = Many-objective optimization. IEEE Congress on Evolutionary Computation 2011: 2115-2122 - [c164]Saúl Zapotecas Martínez, Alfredo Arias Montaño, Carlos A. Coello Coello:
A nonlinear simplex search approach for multi-objective optimization. IEEE Congress on Evolutionary Computation 2011: 2367-2374 - [c163]Antonio López Jaimes, Carlos A. Coello Coello, Hernán E. Aguirre, Kiyoshi Tanaka:
Adaptive Objective Space Partitioning Using Conflict Information for Many-Objective Optimization. EMO 2011: 151-165 - [c162]Eduardo Vázquez-Fernández, Carlos Artemio Coello Coello, Feliu Davino Sagols Troncoso:
An adaptive evolutionary algorithm based on typical chess problems for tuning a chess evaluation function. GECCO (Companion) 2011: 39-40 - [c161]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A multi-objective particle swarm optimizer based on decomposition. GECCO 2011: 69-76 - [c160]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
Swarm intelligence guided by multi-objective mathematical programming techniques. GECCO (Companion) 2011: 771-774 - [c159]Carlos Artemio Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2011: 1137-1160 - [c158]Saúl Zapotecas Martínez, Edgar G. Yáñez Oropeza, Carlos A. Coello Coello:
Self-adaptation Techniques Applied to Multi-Objective Evolutionary Algorithms. LION 2011: 567-581 - [c157]Carlos A. Coello Coello:
Evolutionary Multi-Objective Optimization: Basic Concepts and Some Applications in Pattern Recognition. MCPR 2011: 22-33 - [p16]Alfredo Arias Montaño, Carlos A. Coello Coello, Efrén Mezura-Montes:
Evolutionary Algorithms Applied to Multi-Objective Aerodynamic Shape Optimization. Computational Optimization, Methods and Algorithms 2011: 211-240 - [p15]Guillermo Leguizamón, Carlos A. Coello Coello:
Multi-Objective Ant Colony Optimization: A Taxonomy and Review of Approaches. Integration of Swarm Intelligence and Artificial Neural Network 2011: 67-94 - [e5]Carlos A. Coello Coello:
Learning and Intelligent Optimization - 5th International Conference, LION 5, Rome, Italy, January 17-21, 2011. Selected Papers. Lecture Notes in Computer Science 6683, Springer 2011, ISBN 978-3-642-25565-6 [contents] - 2010
- [j38]Victoria S. Aragón, Susana C. Esquivel, Carlos A. Coello Coello:
Artificial Immune System for Solving Global Optimization Problems. Inteligencia Artif. 14(46): 3-16 (2010) - [j37]Daniel Ortiz Arroyo, Francisco Rodríguez-Henríquez, Carlos Artemio Coello Coello:
The Turing-850 Project: Developing a Personal Computer in the Early 1980s in Mexico. IEEE Ann. Hist. Comput. 32(4): 60-71 (2010) - [j36]Mohsen Davarynejad, Chang Wook Ahn, Jos L. M. Vrancken, Jan van den Berg, Carlos A. Coello Coello:
Evolutionary hidden information detection by granulation-based fitness approximation. Appl. Soft Comput. 10(3): 719-729 (2010) - [j35]Eduardo Fernández, Edy Lopez, Sergio Bernal, Carlos A. Coello Coello, Jorge Navarro:
Evolutionary multiobjective optimization using an outranking-based dominance generalization. Comput. Oper. Res. 37(2): 390-395 (2010) - [j34]Luis V. Santana-Quintero, Alfredo García Hernández-Díaz, Julián Molina Luque, Carlos A. Coello Coello, Rafael Caballero:
DEMORS: A hybrid multi-objective optimization algorithm using differential evolution and rough set theory for constrained problems. Comput. Oper. Res. 37(3): 470-480 (2010) - [j33]Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi:
Computing Gap Free Pareto Front Approximations with Stochastic Search Algorithms. Evol. Comput. 18(1): 65-96 (2010) - [j32]Adriana Lara, Gustavo Sanchez, Carlos A. Coello Coello, Oliver Schütze:
HCS: A New Local Search Strategy for Memetic Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 14(1): 112-132 (2010) - [j31]Juan José Durillo, Antonio J. Nebro, Carlos A. Coello Coello, José García-Nieto, Francisco Luna, Enrique Alba:
A Study of Multiobjective Metaheuristics When Solving Parameter Scalable Problems. IEEE Trans. Evol. Comput. 14(4): 618-635 (2010) - [c156]Guillermo Leguizamón, Carlos A. Coello Coello:
An Alternative ACO \BbbR_{\Bbb{R}} Algorithm for Continuous Optimization Problems. ANTS Conference 2010: 48-59 - [c155]Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello:
Two novel approaches for many-objective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c154]Guillermo Leguizamón, Franco Arito, Carlos A. Coello Coello:
A hybrid Memory-based ACO algorithm for the QAP. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c153]Adriana Lara Lopez, Carlos A. Coello Coello, Oliver Schütze:
A painless gradient-assisted multi-objective memetic mechanism for solving continuous bi-objective optimization problems. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c152]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
An archiving strategy based on the Convex Hull of Individual Minima for MOEAs. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c151]Alfredo Arias Montaño, Carlos A. Coello Coello, Efrén Mezura-Montes:
MODE-LD+SS: A novel Differential Evolution algorithm incorporating local dominance and scalar selection mechanisms for multi-objective optimization. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c150]Oliver Schütze, Adriana Lara, Carlos A. Coello Coello, Massimiliano Vasile:
Computing approximate solutions of scalar optimization problems and applications in space mission design. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c149]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A multi-objective meta-model assisted memetic algorithm with non gradient-based local search. GECCO 2010: 537-538 - [c148]Adriana Lara, Oliver Schütze, Carlos A. Coello Coello:
New challenges for memetic algorithms on continuous multi-objective problems. GECCO (Companion) 2010: 1967-1970 - [c147]Oliver Schütze, Xavier Esquivel, Adriana Lara, Carlos A. Coello Coello:
Some comments on GD and IGD and relations to the Hausdorff distance. GECCO (Companion) 2010: 1971-1974 - [c146]Adriana Lara, Carlos A. Coello Coello, Oliver Schütze:
Using gradient information for multi-objective problems in the evolutionary context. GECCO (Companion) 2010: 2011-2014 - [c145]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A novel diversification strategy for multi-objective evolutionary algorithms. GECCO (Companion) 2010: 2031-2034 - [c144]Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2010: 2603-2624 - [c143]Alfredo Arias Montaño, Carlos A. Coello Coello, Efrén Mezura-Montes:
pMODE-LD+SS: An Effective and Efficient Parallel Differential Evolution Algorithm for Multi-Objective Optimization. PPSN (2) 2010: 21-30 - [c142]Antonin Ponsich, Carlos A. Coello Coello:
Testing the Permutation Space Based Geometric Differential Evolution on the Job-Shop Scheduling Problem. PPSN (2) 2010: 250-259 - [c141]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-model. PPSN (1) 2010: 576-585 - [c140]Antonio López Jaimes, Hernán E. Aguirre, Kiyoshi Tanaka, Carlos A. Coello Coello:
Objective Space Partitioning Using Conflict Information for Many-Objective Optimization. PPSN (1) 2010: 657-666 - [p14]Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan:
Multi-Objective Combinatorial Optimization: Problematic and Context. Advances in Multi-Objective Nature Inspired Computing 2010: 1-21 - [p13]Juan Carlos Fuentes Cabrera, Carlos A. Coello Coello:
Micro-MOPSO: A Multi-Objective Particle Swarm Optimizer That Uses a Very Small Population Size. Multi-Objective Swarm Intelligent System 2010: 83-104 - [e4]Carlos A. Coello Coello, Clarisse Dhaenens, Laetitia Jourdan:
Advances in Multi-Objective Nature Inspired Computing. Studies in Computational Intelligence 272, Springer 2010, ISBN 978-3-642-11217-1 [contents]
2000 – 2009
- 2009
- [j30]Julián Molina Luque, Luis V. Santana-Quintero, Alfredo García Hernández-Díaz, Carlos A. Coello Coello, Rafael Caballero:
g-dominance: Reference point based dominance for multiobjective metaheuristics. Eur. J. Oper. Res. 197(2): 685-692 (2009) - [j29]Carlos A. Coello Coello:
Evolutionary multi-objective optimization: some current research trends and topics that remain to be explored. Frontiers Comput. Sci. China 3(1): 18-30 (2009) - [j28]Jorge E. Rodríguez, Andrés L. Medaglia, Carlos A. Coello Coello:
Design of a motorcycle frame using neuroacceleration strategies in MOEAs. J. Heuristics 15(2): 177-196 (2009) - [j27]Guillermo Leguizamón, Carlos Artemio Coello Coello:
Boundary Search for Constrained Numerical Optimization Problems With an Algorithm Inspired by the Ant Colony Metaphor. IEEE Trans. Evol. Comput. 13(2): 350-368 (2009) - [c139]Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello:
Alternative Fitness Assignment Methods for Many-Objective Optimization Problems. Artificial Evolution 2009: 146-157 - [c138]Adriana Lara, Carlos A. Coello Coello, Oliver Schütze:
Using gradient-based information to deal with scalability in multi-objective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2009: 16-23 - [c137]Adriana Menchaca-Méndez, Carlos A. Coello Coello:
A new proposal to hybridize the Nelder-Mead method to a differential evolution algorithm for constrained optimization. IEEE Congress on Evolutionary Computation 2009: 2598-2605 - [c136]Carlos A. Coello Coello:
Tutorial: Metaheuristics for multiobjective optimization. MCDM 2009 - [c135]Antonio J. Nebro, Juan José Durillo, José García-Nieto, Carlos A. Coello Coello, Francisco Luna, Enrique Alba:
SMPSO: A new PSO-based metaheuristic for multi-objective optimization. MCDM 2009: 66-73 - [c134]Antonio López Jaimes, Carlos A. Coello Coello, Jesús E. Urías Barrientos:
Online Objective Reduction to Deal with Many-Objective Problems. EMO 2009: 423-437 - [c133]Juan José Durillo, José García-Nieto, Antonio J. Nebro, Carlos A. Coello Coello, Francisco Luna, Enrique Alba:
Multi-Objective Particle Swarm Optimizers: An Experimental Comparison. EMO 2009: 495-509 - [c132]Antonio López Jaimes, Carlos A. Coello Coello:
Study of preference relations in many-objective optimization. GECCO 2009: 611-618 - [c131]Oliver Schütze, Adriana Lara, Carlos A. Coello Coello:
Evolutionary continuation methods for optimization problems. GECCO 2009: 651-658 - [c130]Julio Barrera, Carlos A. Coello Coello:
Limiting the velocity in particle swarm optimization using a geometric series. GECCO 2009: 1739-1740 - [c129]Antonio López Jaimes, Carlos A. Coello Coello:
Some techniques to deal with many-objective problems. GECCO (Companion) 2009: 2693-2696 - [c128]Carlos Artemio Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2009: 3089-3110 - [c127]Antonin Ponsich, Ma. Guadalupe Castillo Tapia, Carlos A. Coello Coello:
Solving Permutation Problems with Differential Evolution: An Application to the Jobshop Scheduling Problem. ISDA 2009: 25-30 - [c126]Julio Barrera, Carlos A. Coello Coello:
A Particle Swarm Optimization Method for Multimodal Optimization Based on Electrostatic Interaction. MICAI 2009: 622-632 - [c125]Mario Garza-Fabre, Gregorio Toscano Pulido, Carlos A. Coello Coello:
Ranking Methods for Many-Objective Optimization. MICAI 2009: 633-645 - [p12]Julio Barrera, Carlos A. Coello Coello:
A Review of Particle Swarm Optimization Methods Used for Multimodal Optimization. Innovations in Swarm Intelligence 2009: 9-37 - [p11]Antonio López Jaimes, Luis V. Santana-Quintero, Carlos A. Coello Coello:
Ranking Methods in Many-Objective Evolutionary Algorithms. Nature-Inspired Algorithms for Optimisation 2009: 413-434 - 2008
- [j26]Victoria S. Aragón, Susana C. Esquivel, Carlos Artemio Coello Coello:
Solving Constrained Optimization using a T-Cell Artificial Immune System. Inteligencia Artif. 12(40): 7-22 (2008) - [j25]Efrén Mezura-Montes, Carlos A. Coello Coello:
An empirical study about the usefulness of evolution strategies to solve constrained optimization problems. Int. J. Gen. Syst. 37(4): 443-473 (2008) - [j24]Leticia C. Cagnina, Susana C. Esquivel, Carlos A. Coello Coello:
Solving Engineering Optimization Problems with the Simple Constrained Particle Swarm Optimizer. Informatica (Slovenia) 32(3): 319-326 (2008) - [j23]Oliver Schütze, Marco Laumanns, Carlos A. Coello Coello, Michael Dellnitz, El-Ghazali Talbi:
Convergence of stochastic search algorithms to finite size pareto set approximations. J. Glob. Optim. 41(4): 559-577 (2008) - [j22]Nareli Cruz Cortés, Francisco Rodríguez-Henríquez, Carlos A. Coello Coello:
An Artificial Immune System Heuristic for Generating Short Addition Chains. IEEE Trans. Evol. Comput. 12(1): 1-24 (2008) - [c124]Alfredo García Hernández-Díaz, Carlos A. Coello Coello, Fatima Perez, Rafael Caballero, Julián Molina Luque, Luis V. Santana-Quintero:
Seeding the initial population of a multi-objective evolutionary algorithm using gradient-based information. IEEE Congress on Evolutionary Computation 2008: 1617-1624 - [c123]Juan José Durillo, Antonio J. Nebro, Carlos A. Coello Coello, Francisco Luna, Enrique Alba:
A comparative study of the effect of parameter scalability in multi-objective metaheuristics. IEEE Congress on Evolutionary Computation 2008: 1893-1900 - [c122]Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonchi, Carlos A. Coello Coello:
Auto-tuning fuzzy granulation for evolutionary optimization. IEEE Congress on Evolutionary Computation 2008: 3572-3579 - [c121]El-Ghazali Talbi, Sanaz Mostaghim, Tatsuya Okabe, Hisao Ishibuchi, Günter Rudolph, Carlos A. Coello Coello:
Parallel Approaches for Multiobjective Optimization. Multiobjective Optimization 2008: 349-372 - [c120]Antonio López Jaimes, Carlos A. Coello Coello, Debrup Chakraborty:
Objective reduction using a feature selection technique. GECCO 2008: 673-680 - [c119]Oliver Schütze, Gustavo Sanchez, Carlos A. Coello Coello:
A new memetic strategy for the numerical treatment of multi-objective optimization problems. GECCO 2008: 705-712 - [c118]Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi:
Computing finite size representations of the set of approximate solutions of an MOP with stochastic search algorithms. GECCO 2008: 713-720 - [c117]Gideon Avigad, Carlos A. Coello Coello:
Solving constrained multi-objective problems by objective space analysis. GECCO 2008: 753-754 - [c116]Luis V. Santana-Quintero, Carlos A. Coello Coello, Alfredo García Hernández-Díaz:
Hybridizing surrogate techniques, rough sets and evolutionary algorithms to efficiently solve multi-objective optimization problems. GECCO 2008: 763-764 - [c115]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization. GECCO 2008: 769-770 - [c114]Luis V. Santana-Quintero, Carlos A. Coello Coello:
Accelerating convergence using rough sets theory for multi-objective optimization problems. GECCO (Companion) 2008: 1799-1802 - [c113]Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2008: 2445-2466 - [c112]Alfredo García Hernández-Díaz, Carlos A. Coello Coello, Fatima Perez, Rafael Caballero, Julián Molina:
Using a Gradient Based Method to Seed an EMO Algorithm. MCDM 2008: 327-337 - [c111]Emilia Tantar, Oliver Schütze, José Rui Figueira, Carlos A. Coello Coello, El-Ghazali Talbi:
Computing and Selecting ε-Efficient Solutions of {0, 1}-Knapsack Problems. MCDM 2008: 379-389 - [c110]Alfredo García Hernández-Díaz, Carlos A. Coello Coello, Luis V. Santana-Quintero, Fatima Perez, Julián Molina Luque, Rafael Caballero:
On the Use of Projected Gradients for Constrained Multiobjective Optimization Problems. PPSN 2008: 712-721 - [c109]Antonio J. Nebro, Juan José Durillo, Carlos A. Coello Coello, Francisco Luna, Enrique Alba:
A Study of Convergence Speed in Multi-objective Metaheuristics. PPSN 2008: 763-772 - [c108]Oliver Schütze, Marco Laumanns, Carlos A. Coello Coello:
Approximating the Knee of an MOP with Stochastic Search Algorithms. PPSN 2008: 795-804 - [c107]Oliver Schütze, Massimiliano Vasile, Carlos A. Coello Coello:
Approximate Solutions in Space Mission Design. PPSN 2008: 805-814 - [c106]Saúl Zapotecas Martínez, Carlos A. Coello Coello:
A Proposal to Hybridize Multi-Objective Evolutionary Algorithms with Non-gradient Mathematical Programming Techniques. PPSN 2008: 837-846 - [c105]Luis V. Santana-Quintero, Carlos A. Coello Coello, Alfredo García Hernández-Díaz, Jesús Velázquez-Reyes:
Surrogate-based Multi-Objective Particle Swarm Optimization. SIS 2008: 1-8 - [p10]Efrén Mezura-Montes, Carlos A. Coello Coello:
Constrained Optimization via Multiobjective Evolutionary Algorithms. Multiobjective Problem Solving from Nature 2008: 53-75 - [p9]Efrén Mezura-Montes, Edgar Alfredo Portilla-Flores, Carlos A. Coello Coello, Jaime Álvarez-Gallegos, Carlos Alberto Cruz Villar:
An Evolutionary Approach to Solve a Novel Mechatronic Multiobjective Optimization Problem. Advances in Metaheuristics for Hard Optimization 2008: 329-351 - [p8]Ricardo Landa Becerra, Luis V. Santana-Quintero, Carlos A. Coello Coello:
Knowledge Incorporation in Multi-objective Evolutionary Algorithms. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 23-46 - [p7]Antonio López Jaimes, Carlos A. Coello Coello:
An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology. Applications of Computational Intelligence in Biology 2008: 79-102 - [i2]Oliver Schütze, Carlos A. Coello Coello, Emilia Tantar, El-Ghazali Talbi:
Computing a Finite Size Representation of the Set of Approximate Solutions of an MOP. CoRR abs/0804.0581 (2008) - 2007
- [b2]Carlos Artemio Coello Coello, Gary B. Lamont, David A. van Veldhuizen:
Evolutionary algorithms for solving multi-objective problems, Second Edition. Genetic and evolutionary computation series, Springer 2007, ISBN 978-0-387-33254-3, pp. I-XXI, 1-800 - [j21]Susana C. Esquivel, Carlos Artemio Coello Coello, Victoria S. Aragón:
Artificial Immune System for Solving Constrained Optimization Problems. Inteligencia Artif. 11(35): 55-66 (2007) - [j20]Antonio López Jaimes, Carlos A. Coello Coello:
MRMOGA: a new parallel multi-objective evolutionary algorithm based on the use of multiple resolutions. Concurr. Comput. Pract. Exp. 19(4): 397-441 (2007) - [j19]Alfredo García Hernández-Díaz, Luis V. Santana-Quintero, Carlos A. Coello Coello, Julián Molina Luque:
Pareto-adaptive epsilon-dominance. Evol. Comput. 15(4): 493-517 (2007) - [j18]Carlos A. Coello Coello, Arturo Hernández Aguirre, Eckart Zitzler:
Evolutionary multi-objective optimization. Eur. J. Oper. Res. 181(3): 1617-1619 (2007) - [j17]Enrique Alba, Gabriel Luque, Carlos A. Coello Coello, Erika Hernández Luna:
Comparative study of serial and parallel heuristics used to design combinational logic circuits. Optim. Methods Softw. 22(3): 485-509 (2007) - [c104]Guillermo Leguizamón, Carlos A. Coello Coello:
A boundary search based ACO algorithm coupled with stochastic ranking. IEEE Congress on Evolutionary Computation 2007: 165-172 - [c103]Emanuel Tellez-Emiquez, Efrén Mezura-Montes, Carlos A. Coello Coello:
An ant system with steps counter for the job shop scheduling problem. IEEE Congress on Evolutionary Computation 2007: 477-484 - [c102]Ma. Guadalupe Castillo Tapia, Carlos A. Coello Coello:
Applications of multi-objective evolutionary algorithms in economics and finance: A survey. IEEE Congress on Evolutionary Computation 2007: 532-539 - [c101]Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, Carlos A. Coello Coello:
Constraint handling techniques for a non-parametric real-valued estimation distribution algorithm. IEEE Congress on Evolutionary Computation 2007: 654-661 - [c100]Leticia C. Cagnina, Susana C. Esquivel, Carlos A. Coello Coello:
A bi-population PSO with a shake-mechanism for solving constrained numerical optimization. IEEE Congress on Evolutionary Computation 2007: 670-676 - [c99]Luis V. Santana-Quintero, Víctor A. Serrano-Hernandez, Carlos A. Coello Coello, Alfredo García Hernández-Díaz, Julián Molina:
Use of Radial Basis Functions and Rough Sets for Evolutionary Multi-Objective Optimization. MCDM 2007: 107-114 - [c98]Gregorio Toscano Pulido, Carlos A. Coello Coello, Luis V. Santana-Quintero:
EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency. EMO 2007: 272-285 - [c97]Ricardo Landa Becerra, Carlos A. Coello Coello, Alfredo García Hernández-Díaz, Rafael Caballero, Julián Molina Luque:
Alternative techniques to solve hard multi-objective optimization problems. GECCO 2007: 757-754 - [c96]Oliver Schütze, Marco Laumanns, Emilia Tantar, Carlos A. Coello Coello, El-Ghazali Talbi:
Convergence of stochastic search algorithms to gap-free pareto front approximations. GECCO 2007: 892-901 - [c95]Ricardo Landa Becerra, Carlos A. Coello Coello:
Epsilon-constraint with an efficient cultured differential evolution. GECCO (Companion) 2007: 2787-2794 - [c94]Carlos A. Coello Coello:
Constraint-handling techniques used with evolutionary algorithms. GECCO (Companion) 2007: 3057-3077 - [c93]Víctor A. Serrano-Hernandez, Matías Alvarado, Carlos A. Coello Coello:
Optimization to Manage Supply Chain Disruptions Using the NSGA-II. IFSA (2) 2007: 476-485 - [c92]Carlos Soza, Ricardo Landa Becerra, María Cristina Riff, Carlos A. Coello Coello:
A Cultural Algorithm with Operator Parameters Control for Solving Timetabling Problems. IFSA (1) 2007: 810-819 - [c91]Victoria S. Aragón, Susana C. Esquivel, Carlos A. Coello Coello:
A Novel Model of Artificial Immune System for Solving Constrained Optimization Problems with Dynamic Tolerance Factor. MICAI 2007: 19-29 - [c90]Ramiro Serrato Paniagua, Juan J. Flores, Carlos A. Coello Coello:
A Genetic Representation for Dynamic System Qualitative Models on Genetic Programming: A Gene Expression Programming Approach. MICAI 2007: 30-40 - [c89]Juan Carlos Fuentes Cabrera, Carlos A. Coello Coello:
Handling Constraints in Particle Swarm Optimization Using a Small Population Size. MICAI 2007: 41-51 - [c88]Oliver Schütze, Carlos A. Coello Coello, El-Ghazali Talbi:
Approximating the epsilon -Efficient Set of an MOP with Stochastic Search Algorithms. MICAI 2007: 128-138 - [c87]Oliver Schütze, El-Ghazali Talbi, Carlos A. Coello Coello, Luis V. Santana-Quintero, Gregorio Toscano Pulido:
A Memetic PSO Algorithm for Scalar Optimization Problems. SIS 2007: 128-134 - [p6]Efrén Mezura-Montes, Lucía Muñoz-Dávila, Carlos A. Coello Coello:
A Preliminary Study of Fitness Inheritance in Evolutionary Constrained Optimization. NICSO 2007: 1-14 - [p5]Leticia C. Cagnina, Susana C. Esquivel, Carlos A. Coello Coello:
Hybrid Particle Swarm Optimizers in the Single Machine Scheduling Problem: An Experimental Study. Evolutionary Scheduling 2007: 143-164 - [p4]Margarita Reyes Sierra, Carlos A. Coello Coello:
A Study of Techniques to Improve the Efficiency of a Multi-Objective Particle Swarm Optimizer. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 269-296 - [p3]Carlos A. Coello Coello:
Evolutionary Algorithms: Basic Concepts and Applications in Biometrics. Image Pattern Recognition 2007: 289-320 - 2006
- [j16]Carlos A. Coello Coello:
Evolutionary multi-objective optimization: a historical view of the field. IEEE Comput. Intell. Mag. 1(1): 28-36 (2006) - [j15]Carlos A. Coello Coello:
The EMOO repository: a resource for doing research in evolutionary multiobjective optimization. IEEE Comput. Intell. Mag. 1(1): 37-45 (2006) - [j14]Mario Villalobos-Arias, Carlos A. Coello Coello, Onésimo Hernández-Lerma:
Asymptotic convergence of a simulated annealing algorithm for multiobjective optimization problems. Math. Methods Oper. Res. 64(2): 353-362 (2006) - [j13]Mario Villalobos-Arias, Carlos A. Coello Coello, Onésimo Hernández-Lerma:
Asymptotic convergence of metaheuristics for multiobjective optimization problems. Soft Comput. 10(11): 1001-1005 (2006) - [c86]Guillermo Leguizamón, Carlos A. Coello Coello:
Boundary Search for Constrained Numerical Optimization Problems in ACO Algorithms. ANTS Workshop 2006: 108-119 - [c85]Efrén Mezura-Montes, Jesús Velázquez-Reyes, Carlos A. Coello Coello:
Modified Differential Evolution for Constrained Optimization. IEEE Congress on Evolutionary Computation 2006: 25-32 - [c84]Margarita Reyes Sierra, Carlos A. Coello Coello:
Dynamic fitness inheritance proportion for multi-objective particle swarm optimization. GECCO 2006: 89-90 - [c83]Efrén Mezura-Montes, Jesús Velázquez-Reyes, Carlos A. Coello Coello:
A comparative study of differential evolution variants for global optimization. GECCO 2006: 485-492 - [c82]Alfredo García Hernández-Díaz, Luis V. Santana-Quintero, Carlos A. Coello Coello, Rafael Caballero, Julián Molina Luque:
A new proposal for multi-objective optimization using differential evolution and rough sets theory. GECCO 2006: 675-682 - [c81]Luis V. Santana-Quintero, Noel Ramírez-Santiago, Carlos A. Coello Coello:
A Multi-objective Particle Swarm Optimizer Hybridized with Scatter Search. MICAI 2006: 294-304 - [c80]Luis V. Santana-Quintero, Noel Ramírez-Santiago, Carlos A. Coello Coello, Julián Molina Luque, Alfredo García Hernández-Díaz:
A New Proposal for Multiobjecive Optimization Using Particle Swarm Optimization and Rough Sets Theory. PPSN 2006: 483-492 - [c79]Ricardo Landa Becerra, Carlos A. Coello Coello:
Solving Hard Multiobjective Optimization Problems Using epsilon-Constraint with Cultured Differential Evolution. PPSN 2006: 543-552 - [c78]Leticia C. Cagnina, Susana C. Esquivel, Carlos A. Coello Coello:
A Particle Swarm Optimizer for Constrained Numerical Optimization. PPSN 2006: 910-919 - 2005
- [j12]Carlos A. Coello Coello, Nareli Cruz Cortés:
Solving Multiobjective Optimization Problems Using an Artificial Immune System. Genet. Program. Evolvable Mach. 6(2): 163-190 (2005) - [j11]E. Islas Pérez, Carlos A. Coello Coello, Arturo Hernández Aguirre:
Extraction and reuse of design patterns from genetic algorithms using case-based reasoning. Soft Comput. 9(1): 44-53 (2005) - [j10]Efrén Mezura-Montes, Carlos A. Coello Coello:
A simple multimembered evolution strategy to solve constrained optimization problems. IEEE Trans. Evol. Comput. 9(1): 1-17 (2005) - [c77]Margarita Reyes Sierra, Carlos A. Coello Coello:
A study of fitness inheritance and approximation techniques for multi-objective particle swarm optimization. Congress on Evolutionary Computation 2005: 65-72 - [c76]Efrén Mezura-Montes, Carlos A. Coello Coello:
Identifying on-line behavior and some sources of difficulty in two competitive approaches for constrained optimization. Congress on Evolutionary Computation 2005: 1477-1484 - [c75]Antonio López Jaimes, Carlos A. Coello Coello:
MRMOGA: parallel evolutionary multiobjective optimization using multiple resolutions. Congress on Evolutionary Computation 2005: 2294-2301 - [c74]Nareli Cruz Cortés, Francisco Rodríguez-Henríquez, Raúl Juárez-Morales, Carlos A. Coello Coello:
Finding Optimal Addition Chains Using a Genetic Algorithm Approach. CIS (1) 2005: 208-215 - [c73]Margarita Reyes Sierra, Carlos A. Coello Coello:
Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and epsilon-Dominance. EMO 2005: 505-519 - [c72]Efrén Mezura-Montes, Carlos A. Coello Coello:
Saving Evaluations in Differential Evolution for Constrained Optimization. ENC 2005: 274-281 - [c71]Mario Villalobos-Arias, Carlos A. Coello Coello, Onésimo Hernández-Lerma:
Asymptotic Convergence of Some Metaheuristics Used for Multiobjective Optimization. FOGA 2005: 95-111 - [c70]Ricardo Landa Becerra, Carlos A. Coello Coello:
Optimization with constraints using a cultured differential evolution approach. GECCO 2005: 27-34 - [c69]Efrén Mezura-Montes, Jesús Velázquez-Reyes, Carlos A. Coello Coello:
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization. GECCO 2005: 225-232 - [c68]Ricardo Landa Becerra, Carlos A. Coello Coello:
Use of domain information to improve the performance of an evolutionary algorithm. GECCO Workshops 2005: 362-365 - [c67]Carlos A. Coello Coello:
Evolutionary Multi-Objective Optimization: Current State and Future Challenges. HIS 2005: 5 - [c66]Nareli Cruz Cortés, Daniel Trejo-Pérez, Carlos A. Coello Coello:
Handling Constraints in Global Optimization Using an Artificial Immune System. ICARIS 2005: 234-247 - [c65]Carlos A. Coello Coello:
An Introduction to Evolutionary Algorithms and Their Applications. ISSADS 2005: 425-442 - [c64]Margarita Reyes Sierra, Carlos A. Coello Coello:
Coevolutionary Multi-objective Optimization Using Clustering Techniques. MICAI 2005: 603-612 - [c63]Efrén Mezura-Montes, Carlos A. Coello Coello:
Useful Infeasible Solutions in Engineering Optimization with Evolutionary Algorithms. MICAI 2005: 652-662 - [c62]Mario Villalobos-Arias, Gregorio Toscano Pulido, Carlos A. Coello Coello:
A proposal to use stripes to maintain diversity in a multi-objective particle swarm optimizer. SIS 2005: 22-29 - [c61]Margarita Reyes Sierra, Carlos A. Coello Coello:
Fitness inheritance in multi-objective particle swarm optimization. SIS 2005: 116-123 - [p2]Carlos A. Coello Coello:
Recent Trends in Evolutionary Multiobjective Optimization. Evolutionary Multiobjective Optimization 2005: 7-32 - [p1]Efrén Mezura-Montes, Carlos A. Coello Coello:
Use of Multiobjective Optimization Concepts to Handle Constraints in Genetic Algorithms. Evolutionary Multiobjective Optimization 2005: 229-254 - [e3]Carlos A. Coello Coello, Arturo Hernández Aguirre, Eckart Zitzler:
Evolutionary Multi-Criterion Optimization, Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings. Lecture Notes in Computer Science 3410, Springer 2005, ISBN 3-540-24983-4 [contents] - [i1]Carlos A. Coello Coello:
Current Status of the EMOO Repository, Including Current and Future Research Trends. Practical Approaches to Multi-Objective Optimization 2005 - 2004
- [j9]Carlos A. Coello Coello, Gregorio Toscano Pulido, Maximino Salazar Lechuga:
Handling Multiple Objectives With Particle Swarm Optimization. IEEE Trans. Evol. Comput. 8(3): 256-279 (2004) - [c60]Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos Artemio Coello Coello:
PASSSS: an implementation of a novel diversity strategy for handling constraints. IEEE Congress on Evolutionary Computation 2004: 403-410 - [c59]Arturo Hernández Aguirre, Carlos A. Coello Coello:
Mutual information-based fitness functions for evolutionary circuit synthesis. IEEE Congress on Evolutionary Computation 2004: 1309-1316 - [c58]Gregorio Toscano Pulido, Carlos A. Coello Coello:
A constraint-handling mechanism for particle swarm optimization. IEEE Congress on Evolutionary Computation 2004: 1396-1403 - [c57]Carlos A. Coello Coello, Erika Hernández Luna, Arturo Hernández Aguirre:
A Comparative Study of Encodings to Design Combinational Logic Circuits Using Particle Swarm Optimization. Evolvable Hardware 2004: 71-78 - [c56]Erika Hernández Luna, Carlos A. Coello Coello, Arturo Hernández Aguirre:
On the Use of a Population-Based Particle Swarm Optimizer to Design Combinational Logic Circuits. Evolvable Hardware 2004: 183-190 - [c55]Arturo Hernández Aguirre, Ricardo Salem Zebulum, Carlos A. Coello Coello:
Evolutionary Multiobjective Design targeting a Field Programmable Transistor Array. Evolvable Hardware 2004: 199- - [c54]Ricardo Landa Becerra, Carlos A. Coello Coello:
Culturizing Differential Evolution for Constrained Optimization. ENC 2004: 304-311 - [c53]Edgar Galván López, Riccardo Poli, Carlos A. Coello Coello:
Reusing Code in Genetic Programming. EuroGP 2004: 359-368 - [c52]Gregorio Toscano Pulido, Carlos A. Coello Coello:
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer. GECCO (1) 2004: 225-237 - [c51]Efrén Mezura-Montes, Carlos A. Coello Coello:
An Improved Diversity Mechanism for Solving Constrained Optimization Problems Using a Multimembered Evolution Strategy. GECCO (1) 2004: 700-712 - [c50]Nareli Cruz Cortés, Francisco Rodríguez-Henríquez, Carlos A. Coello Coello:
On the Optimal Computaion of Finite Field Exponentiation. IBERAMIA 2004: 747-756 - [c49]Susana C. Esquivel, Carlos A. Coello Coello:
Particle Swarm Optimization in Non-stationary Environments. IBERAMIA 2004: 757-766 - [c48]Ricardo Landa Becerra, Carlos A. Coello Coello:
A Cultural Algorithm with Differential Evolution to Solve Constrained Optimization Problems. IBERAMIA 2004: 881-890 - [c47]Mario Villalobos-Arias, Carlos A. Coello Coello, Onésimo Hernández-Lerma:
Convergence Analysis of a Multiobjective Artificial Immune System Algorithm. ICARIS 2004: 226-235 - [c46]Carlos A. Coello Coello, Margarita Reyes Sierra:
A Study of the Parallelization of a Coevolutionary Multi-objective Evolutionary Algorithm. MICAI 2004: 688-697 - [c45]Efrén Mezura-Montes, Carlos A. Coello Coello, Edy I. Tun-Morales:
Simple Feasibility Rules and Differential Evolution for Constrained Optimization. MICAI 2004: 707-716 - 2003
- [j8]Arturo Hernández Aguirre, Carlos A. Coello Coello:
Evolutionary Synthesis of Logic Circuits Using Information Theory. Artif. Intell. Rev. 20(3-4): 445-471 (2003) - [j7]Carlos A. Coello Coello:
Guest editorial: special issue on evolutionary multiobjective optimization. IEEE Trans. Evol. Comput. 7(2): 97-99 (2003) - [c44]Efrén Mezura-Montes, Carlos A. Coello Coello:
Adding a diversity mechanism to a simple evolution strategy to solve constrained optimization problems. IEEE Congress on Evolutionary Computation 2003: 6-13 - [c43]Carlos A. Coello Coello, Margarita Reyes Sierra:
A coevolutionary multi-objective evolutionary algorithm. IEEE Congress on Evolutionary Computation 2003: 482-489 - [c42]Susana C. Esquivel, Carlos A. Coello Coello:
On the use of particle swarm optimization with multimodal functions. IEEE Congress on Evolutionary Computation 2003: 1130-1136 - [c41]Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello:
IS-PAES: switching constraints on and off for multiobjective optimization. IEEE Congress on Evolutionary Computation 2003: 1162-1169 - [c40]Carlos A. Coello Coello, Enrique Alba, Gabriel Luque, Arturo Hernández Aguirre:
Comparing Different Serial and Parallel Heuristics to Design Combinational Logic Circuits. Evolvable Hardware 2003: 3-12 - [c39]Arturo Hernández Aguirre, Carlos A. Coello Coello:
Fitness Landscape and Evolutionary Boolean Synthesis using Information. Evolvable Hardware 2003: 13-16 - [c38]Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello:
IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts. EMO 2003: 73-87 - [c37]Gregorio Toscano Pulido, Carlos A. Coello Coello:
The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization. EMO 2003: 252-266 - [c36]Efrén Mezura-Montes, Carlos A. Coello Coello:
Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms. ENC 2003: 192-199 - [c35]Arturo Hernández Aguirre, Carlos A. Coello Coello:
Gate-level Synthesis of Boolean Functions using Information Theory Concepts. ENC 2003: 268- - [c34]Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello:
IS-PAES: Evolutionary Multi-Objective Optimization with Constraint Handling. ENC 2003: 338- - [c33]Nareli Cruz Cortés, Carlos A. Coello Coello:
Multiobjective Optimization Using Ideas from the Clonal Selection Principle. GECCO 2003: 158-170 - [c32]Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga:
Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization. GECCO 2003: 573-584 - [c31]Efrén Mezura-Montes, Carlos A. Coello Coello:
A Simple Evolution Strategy to Solve Constrained Optimization Problems. GECCO 2003: 640-641 - [c30]Carlos A. Coello Coello, Daniel Cortés Rivera, Nareli Cruz Cortés:
Use of an Artificial Immune System for Job Shop Scheduling. ICARIS 2003: 1-10 - [c29]Arturo Hernández Aguirre, Edgar C. González Equihua, Carlos A. Coello Coello:
Synthesis of Boolean Functions Using Information Theory. ICES 2003: 218-227 - [c28]Carlos A. Coello Coello, Erika Hernández Luna, Arturo Hernández Aguirre:
Use of Particle Swarm Optimization to Design Combinational Logic Circuits. ICES 2003: 398-409 - [c27]Efrén Mezura-Montes, Carlos A. Coello Coello, Ricardo Landa Becerra:
Engineering Optimization Using a Simple Evolutionary Algorithm. ICTAI 2003: 149-156 - [c26]Carlos A. Coello Coello, Ricardo Landa Becerra:
Evolutionary multiobjective optimization using a cultural algorithm. SIS 2003: 6-13 - 2002
- [b1]Carlos Artemio Coello Coello, David A. van Veldhuizen, Gary B. Lamont:
Evolutionary algorithms for solving multi-objective problems. Genetic algorithms and evolutionary computation 5, Kluwer 2002, ISBN 978-0-306-46762-2, pp. I-XXXIII, 1-576 - [j6]Carlos A. Coello Coello, Efrén Mezura-Montes:
Constraint-handling in genetic algorithms through the use of dominance-based tournament selection. Adv. Eng. Informatics 16(3): 193-203 (2002) - [j5]Carlos A. Coello Coello, Arturo Hernández Aguirre:
Design of combinational logic circuits through an evolutionary multiobjective optimization approach. Artif. Intell. Eng. Des. Anal. Manuf. 16(1): 39-53 (2002) - [c25]Carlos A. Coello Coello, Nareli Cruz Cortés:
A parallel implementation of an artificial immune system to handle constraints in genetic algorithms: preliminary results. IEEE Congress on Evolutionary Computation 2002: 819-824 - [c24]Carlos A. Coello Coello, Maximino Salazar Lechuga:
MOPSO: a proposal for multiple objective particle swarm optimization. IEEE Congress on Evolutionary Computation 2002: 1051-1056 - [c23]Carlos A. Coello Coello, Ricardo Landa Becerra:
Adding Knowledge And Efficient Data Structures To Evolutionary Programming: A Cultural Algorithm For Constrained Optimization. GECCO 2002: 201-209 - [c22]Héctor Fernando Gómez García, Arturo González Vega, Arturo Hernández Aguirre, Carlos A. Coello Coello:
Efficient Affine 2D-image Registration Using Evolutionary Strategies. GECCO 2002: 1263 - [c21]Carlos A. Coello Coello, Ricardo Landa Becerra:
A Cultural Algorithm for Constrained Optimization. MICAI 2002: 98-107 - [c20]E. Islas Pérez, Carlos A. Coello Coello, Arturo Hernández Aguirre, Alejandro Villavicencio Ramírez:
Genetic Algorithms and Case-Based Reasoning as a Discovery and Learning Machine in the Optimization of Combinational Logic Circuits. MICAI 2002: 128-137 - [c19]Héctor Fernando Gómez García, Arturo González Vega, Arturo Hernández Aguirre, José L. Marroquín, Carlos A. Coello Coello:
Robust Multiscale Affine 2D-Image Registration through Evolutionary Strategies. PPSN 2002: 740-748 - [e2]Carlos A. Coello Coello, Alvaro de Albornoz, Luis Enrique Sucar, Osvaldo Cairó Battistutti:
MICAI 2002: Advances in Artificial Intelligence, Second Mexican International Conference on Artificial Intelligence, Merida, Yucatan, Mexico, April 22-26, 2002, Proceedings. Lecture Notes in Computer Science 2313, Springer 2002, ISBN 3-540-43475-5 [contents] - 2001
- [c18]Arturo Hernández Aguirre, Bill P. Buckles, Carlos A. Coello Coello:
On Learning kDNFsn Boolean Formulas. Evolvable Hardware 2001: 240-248 - [c17]Carlos A. Coello Coello:
A Short Tutorial on Evolutionary Multiobjective Optimization. EMO 2001: 21-40 - [c16]Carlos A. Coello Coello, Gregorio Toscano Pulido:
A Micro-Genetic Algorithm for Multiobjective Optimization. EMO 2001: 126-140 - [c15]E. Islas Pérez, Carlos A. Coello Coello, Arturo Hernández Aguirre:
Extraction of Design Patterns from Evolutionary Algorithms Using Case-Based Reasoning. ICES 2001: 244-255 - [c14]Arturo Hernández Aguirre, Bill P. Buckles, Carlos A. Coello Coello:
GA-Based Learning of kDNFns Boolean Formulas. ICES 2001: 279-290 - [e1]Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, David Corne:
Evolutionary Multi-Criterion Optimization, First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001, Proceedings. Lecture Notes in Computer Science 1993, Springer 2001, ISBN 3-540-41745-1 [contents] - 2000
- [j4]Carlos A. Coello Coello, Alan D. Christiansen, Arturo Hernández Aguirre:
Towards automated evolutionary design of combinational circuits. Comput. Electr. Eng. 27(1): 1-28 (2000) - [j3]Carlos A. Coello Coello:
An updated survey of GA-based multiobjective optimization techniques. ACM Comput. Surv. 32(2): 109-143 (2000) - [c13]Carlos A. Coello Coello:
Handling preferences in evolutionary multiobjective optimization: a survey. CEC 2000: 30-37 - [c12]Arturo Hernández Aguirre, Bill P. Buckles, Carlos A. Coello Coello:
Gate-level synthesis of Boolean functions using binary multiplexers and genetic programming. CEC 2000: 675-682 - [c11]Carlos A. Coello Coello, Arturo Hernández Aguirre, Bill P. Buckles:
Evolutionary Multiobjective Design of Combinational Logic Circuits. Evolvable Hardware 2000: 161-172 - [c10]Carlos A. Coello Coello, Rosa Laura Zavala Gutierrez, Benito Mendoza García, Arturo Hernández Aguirre:
Ant Colony System for the Design of Combinational Logic Circuits. ICES 2000: 21-30
1990 – 1999
- 1999
- [j2]Carlos A. Coello Coello:
A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques. Knowl. Inf. Syst. 1(3): 129-156 (1999) - [c9]Carlos A. Coello Coello:
An updated survey of evolutionary multiobjective optimization techniques: state of the art and future trends. CEC 1999: 3-13 - [c8]Carlos A. Coello Coello:
Self-adaptive penalties for GA-based optimization. CEC 1999: 573-580 - [c7]Arturo Hernández Aguirre, Bill P. Buckles, Carlos A. Coello Coello:
A Genetic Programming Approach to Logic Function Synthesis by Means of Multiplexers. Evolvable Hardware 1999: 46-53 - 1998
- [j1]Carlos A. Coello Coello, Alan D. Christiansen, Arturo Hernández Aguirre:
Using a new GA-based multiobjective optimization technique for the design of robot arms. Robotica 16(4): 401-414 (1998) - [c6]Carlos A. Coello Coello:
Using the Min-Max Method to Solve Multiobjective Optimization Problems with Genetic Algorithms. IBERAMIA 1998: 303-314 - 1997
- [c5]Carlos A. Coello Coello, Alan D. Christiansen, Arturo Hernández Aguirre:
Automated Design of Combinational Logic Circuits by Genetic Algorithms. ICANNGA 1997: 333-336 - 1996
- [c4]Alan D. Christiansen, Andrea Dunham Edwards, Carlos A. Coello Coello:
Automated design of part feeders using a genetic algorithm. ICRA 1996: 846-851 - 1995
- [c3]Carlos A. Coello Coello, Alan D. Christiansen:
Using Genetic Algorithms for Optimal Design of Axially Loaded Non-Prismatic Columns. ICANNGA 1995: 460-463 - [c2]Carlos A. Coello Coello, Alan D. Christiansen, Arturo Hernández Aguirre:
Multiobjective design optimization of counterweight balancing of a robot arm using genetic algorithms. ICTAI 1995: 20-23 - 1994
- [c1]Carlos A. Coello Coello, Michael Rudnick, Alan D. Christiansen:
Using Genetic Algorithms for Optimal Design of Trusses. ICTAI 1994: 88-94
Coauthor Index
Enrique Alba 0001
aka: Enrique Alba Torres
aka: Enrique Alba Torres
Saber M. Elsayed
aka: Saber Mohammed Elsayed
aka: Saber Mohammed Elsayed
Eduardo René Fernández-González
aka: Eduardo Fernández 0002
aka: Eduardo R. Fernández 0002
aka: Eduardo Fernández-González 0002
aka: Eduardo Fernández 0002
aka: Eduardo R. Fernández 0002
aka: Eduardo Fernández-González 0002
Claudia Gómez-Santillán
aka: Claudia Guadalupe Gómez Santillán
aka: Claudia Guadalupe Gómez Santillán
Adriana Lara
aka: Adriana Lara Lopez
aka: Adriana Lara Lopez
Guillermo Leguizamón
aka: Mario Guillermo Leguizamón
aka: Mario Guillermo Leguizamón
Julián Molina Luque
aka: Julián Molina
aka: Julián Molina