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Semantic ScholarKalyanmoy Deb
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- affiliation: Michigan State University, East Lansing, MI, USA
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2010 – today
- 2019
[j134]Lei Chen, Kalyanmoy Deb, Hai-Lin Liu:
Explicit Control of Implicit Parallelism in Decomposition-Based Evolutionary Many-Objective Optimization Algorithms [Research Frontier]. IEEE Comp. Int. Mag. 14(4): 52-64 (2019)- [j133]Proteek Chandan Roy, Andrey K. Guber, Mohammad Abouali, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Alvin J. M. Smucker:
Crop yield simulation optimization using precision irrigation and subsurface water retention technology. Environmental Modelling and Software 119: 433-444 (2019) - [j132]Amir H. Gandomi
, Kalyanmoy Deb, Ronald C. Averill, Shahryar Rahnamayan, Mohammad Nabi Omidvar:
Using semi-independent variables to enhance optimization search. Expert Syst. Appl. 120: 279-297 (2019) - [j131]Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
A survey of evolutionary algorithms using metameric representations. Genetic Programming and Evolvable Machines 20(4): 441-478 (2019) - [j130]Rituparna Datta, Kalyanmoy Deb, Jong-Hwan Kim:
CHIP: Constraint Handling with Individual Penalty approach using a hybrid evolutionary algorithm. Neural Computing and Applications 31(9): 5255-5271 (2019) - [j129]Ankur Sinha, Tharo Soun, Kalyanmoy Deb:
Using Karush-Kuhn-Tucker proximity measure for solving bilevel optimization problems. Swarm and Evolutionary Computation 44: 496-510 (2019) - [j128]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Push and pull search for solving constrained multi-objective optimization problems. Swarm and Evolutionary Computation 44: 665-679 (2019) - [j127]Hui Li, Kalyanmoy Deb, Qingfu Zhang, Ponnuthurai N. Suganthan, Lei Chen:
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. Swarm and Evolutionary Computation 46: 104-117 (2019) - [j126]Zhun Fan, Yugen You, Xinye Cai, Haodong Zheng, Guijie Zhu, Wenji Li, Akhil Garg, Kalyanmoy Deb, Erik D. Goodman:
Analysis and multi-objective optimization of a kind of teaching manipulator. Swarm and Evolutionary Computation 50 (2019) - [j125]Proteek Chandan Roy, Kalyanmoy Deb, Md. Monirul Islam:
An Efficient Nondominated Sorting Algorithm for Large Number of Fronts. IEEE Trans. Cybernetics 49(3): 859-869 (2019) - [j124]Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, Gregorio Toscano Pulido:
A Taxonomy for Metamodeling Frameworks for Evolutionary Multiobjective Optimization. IEEE Trans. Evolutionary Computation 23(1): 104-116 (2019) - [j123]Haitham Seada, Mohamed Abouhawwash, Kalyanmoy Deb:
Multiphase Balance of Diversity and Convergence in Multiobjective Optimization. IEEE Trans. Evolutionary Computation 23(3): 503-513 (2019) - [j122]Hui Li, Kalyanmoy Deb, Qingfu Zhang:
Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm. IEEE Trans. Evolutionary Computation 23(6): 987-999 (2019) - [c275]Azam Asilian Bidgoli, Shahryar Rahnamayan, Sedigheh Mahdavi, Kalyanmoy Deb:
A Novel Pareto-VIKOR Index for Ranking Scientists' Publication Impacts: A Case Study on Evolutionary Computation Researchers. CEC 2019: 2458-2465 - [c274]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb, Mitra Rahnamayan:
A Knowledge Discovery of Relationships among Dataset Entities Using Optimum Hierarchical Clustering by DE Algorithm. CEC 2019: 2761-2770 - [c273]Kalyanmoy Deb, Sunith Bandaru, Haitham Seada:
Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization. EMO 2019: 179-190 - [c272]Julian Blank, Kalyanmoy Deb, Proteek Chandan Roy:
Investigating the Normalization Procedure of NSGA-III. EMO 2019: 229-240 - [c271]Proteek Chandan Roy, Rayan Hussein, Julian Blank, Kalyanmoy Deb:
Trust-Region Based Multi-objective Optimization for Low Budget Scenarios. EMO 2019: 373-385 - [c270]Proteek Chandan Roy, Andrey K. Guber, Mohammad Abouali, A. Pouyan Nejadhashemi, Kalyanmoy Deb, Alvin J. M. Smucker:
Simulation Optimization of Water Usage and Crop Yield Using Precision Irrigation. EMO 2019: 695-706 - [c269]Oskar Marko, Dejan Pavlovic, Vladimir S. Crnojevic, Kalyanmoy Deb:
Optimisation of crop configuration using NSGA-III with categorical genetic operators. GECCO (Companion) 2019: 223-224 - [c268]Hemant Kumar Singh, Kalyanmoy Deb:
A parametric investigation of PBI and AASF scalarizations. GECCO (Companion) 2019: 233-234 - [c267]Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-Net: neural architecture search using multi-objective genetic algorithm. GECCO 2019: 419-427 - [e21]Kalyanmoy Deb, Erik D. Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, Patrick 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] - [i20]Ke Li, Minhui Liao, Kalyanmoy Deb, Geyong Min, Xin Yao:
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points. CoRR abs/1909.13567 (2019) - 2018
- [j121]Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey:
Improving the performance of genetic algorithms for land-use allocation problems. International Journal of Geographical Information Science 32(5): 907-930 (2018) - [j120]Federica Sarro, Kalyanmoy Deb, Marouane Kessentini:
Guest Editorial for the 8th Symposium on Search Based Software Engineering Special Section. Information & Software Technology 95: 265 (2018) - [j119]Okkes Tolga Altinöz, Kalyanmoy Deb, Asim Egemen Yilmaz:
Distributed approaches for reference-point-based multi-objective hybrid problems. Inf. Sci. 467: 323-341 (2018) - [j118]Okkes Tolga Altinöz, Kalyanmoy Deb, Asim Egemen Yilmaz:
Evaluation of the migrated solutions for distributing reference point-based multi-objective optimization algorithms. Inf. Sci. 467: 750-765 (2018) - [j117]Amos H. C. Ng, Florian Siegmund, Kalyanmoy Deb:
Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement. J. Systems and IT 20(4): 489-512 (2018) - [j116]Okkes Tolga Altinöz, Kalyanmoy Deb:
Late parallelization and feedback approaches for distributed computation of evolutionary multi-objective optimization algorithms. Neural Computing and Applications 30(3): 723-733 (2018) - [j115]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb:
Opposition based learning: A literature review. Swarm and Evolutionary Computation 39: 1-23 (2018) - [j114]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
3D-RadVis Antenna: Visualization and performance measure for many-objective optimization. Swarm and Evolutionary Computation 39: 157-176 (2018) - [j113]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications. IEEE Trans. Evolutionary Computation 22(2): 276-295 (2018) - [j112]Federica Sarro, Marouane Kessentini, Kalyanmoy Deb:
Guest Editorial Special Issue on Search-Based Software Engineering. IEEE Trans. Evolutionary Computation 22(3): 333 (2018) - [j111]Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb:
Adaptively Allocating Search Effort in Challenging Many-Objective Optimization Problems. IEEE Trans. Evolutionary Computation 22(3): 433-448 (2018) - [j110]Ke Li, Kalyanmoy Deb, Xin Yao:
R-Metric: Evaluating the Performance of Preference-Based Evolutionary Multiobjective Optimization Using Reference Points. IEEE Trans. Evolutionary Computation 22(6): 821-835 (2018) - [j109]Ali Ahrari, Kalyanmoy Deb:
A Novel Class of Test Problems for Performance Evaluation of Niching Methods. IEEE Trans. Evolutionary Computation 22(6): 909-919 (2018) - [j108]Kalyanmoy Deb, Ling Zhu, Sandeep S. Kulkarni:
Handling Multiple Scenarios in Evolutionary Multiobjective Numerical Optimization. IEEE Trans. Evolutionary Computation 22(6): 920-933 (2018) - [c266]Ankur Sinha, Samish Bedi, Kalyanmoy Deb:
Bilevel Optimization Based on Kriging Approximations of Lower Level Optimal Value Function. CEC 2018: 1-8 - [c265]Zhichao Lu, Kalyanmoy Deb, Hemant K. Singh:
Balancing Survival of Feasible and Infeasible Solutions in Constraint Evolutionary Optimization Algorithms. CEC 2018: 1-8 - [c264]Proteek Chandan Roy, Julian Blank, Rayan Hussein, Kalyanmoy Deb:
Trust-region based algorithms with low-budget for multi-objective optimization. GECCO (Companion) 2018: 195-196 - [c263]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Julian Blank:
Visualization of the boundary solutions of high dimensional pareto front from a decision maker's perspective. GECCO (Companion) 2018: 201-202 - [c262]Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro Simone Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang:
Tutorials at PPSN 2018. PPSN (2) 2018: 477-489 - [c261]Yashesh D. Dhebar, Kalyanmoy Deb:
Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms. SSCI 2018: 696-703 - [c260]Rayan Hussein, Proteek Chandan Roy, Kalyanmoy Deb:
Switching Between Metamodeling Frameworks for Efficient Multi-Objective Optimization. SSCI 2018: 1188-1195 - [c259]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb:
A Topologically Consistent Visualization of High Dimensional Pareto-front for Multi-Criteria Decision Making. SSCI 2018: 1579-1586 - [c258]Yash Vesikar, Kalyanmoy Deb, Julian Blank:
Reference Point Based NSGA-III for Preferred Solutions. SSCI 2018: 1587-1594 - [c257]José R. Llera, Kalyanmoy Deb, Erik S. Runkle, Lihong Xu, Erik D. Goodman:
Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization. SSCI 2018: 1929-1936 - [c256]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
Enhanced Correlation Matrix Based Visualization for Multi- and Many-objective optimization. SSCI 2018: 2345-2352 - [p18]Haitham Seada, Kalyanmoy Deb:
Non-dominated Sorting Based Multi/Many-Objective Optimization: Two Decades of Research and Application. Multi-Objective Optimization 2018: 1-24 - [i19]Zhun Fan, Yugen You, Haodong Zheng, Guijie Zhu, Wenji Li, Shen Chen, Kalyanmoy Deb, Erik D. Goodman:
Modeling and Multi-objective Optimization of a Kind of Teaching Manipulator. CoRR abs/1801.10599 (2018) - [i18]Zhichao Lu, Ian Whalen, Vishnu Boddeti, Yashesh D. Dhebar, Kalyanmoy Deb, Erik D. Goodman, Wolfgang Banzhaf:
NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search. CoRR abs/1810.03522 (2018) - 2017
- [j107]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Approximated set-valued mapping approach for handling multiobjective bilevel problems. Computers & OR 77: 194-209 (2017) - [j106]Mohamed Abouhawwash, Haitham Seada, Kalyanmoy Deb:
Towards faster convergence of evolutionary multi-criterion optimization algorithms using Karush Kuhn Tucker optimality based local search. Computers & OR 79: 331-346 (2017) - [j105]Ali Ahrari, Kalyanmoy Deb, Mike Preuss:
Multimodal Optimization by Covariance Matrix Self-Adaptation Evolution Strategy with Repelling Subpopulations. Evolutionary Computation 25(3): 439-471 (2017) - [j104]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Evolutionary algorithm for bilevel optimization using approximations of the lower level optimal solution mapping. European Journal of Operational Research 257(2): 395-411 (2017) - [j103]Kalyanmoy Deb, Christie Myburgh:
A population-based fast algorithm for a billion-dimensional resource allocation problem with integer variables. European Journal of Operational Research 261(2): 460-474 (2017) - [j102]Marouane Kessentini, Usman Mansoor, Manuel Wimmer, Ali Ouni, Kalyanmoy Deb:
Search-based detection of model level changes. Empirical Software Engineering 22(2): 670-715 (2017) - [j101]Mohamed Wiem Mkaouer, Marouane Kessentini, Mel Ó Cinnéide, Shinpei Hayashi, Kalyanmoy Deb:
A robust multi-objective approach to balance severity and importance of refactoring opportunities. Empirical Software Engineering 22(2): 894-927 (2017) - [j100]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Data mining methods for knowledge discovery in multi-objective optimization: Part B - New developments and applications. Expert Syst. Appl. 70: 119-138 (2017) - [j99]Sunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb:
Data mining methods for knowledge discovery in multi-objective optimization: Part A - Survey. Expert Syst. Appl. 70: 139-159 (2017) - [j98]Matthew L. Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman:
Solving metameric variable-length optimization problems using genetic algorithms. Genetic Programming and Evolvable Machines 18(2): 247-277 (2017) - [j97]Ali Ouni, Marouane Kessentini, Mel Ó Cinnéide, Houari A. Sahraoui, Kalyanmoy Deb, Katsuro Inoue:
MORE: A multi-objective refactoring recommendation approach to introducing design patterns and fixing code smells. Journal of Software: Evolution and Process 29(5) (2017) - [j96]Usman Mansoor, Marouane Kessentini, Manuel Wimmer, Kalyanmoy Deb:
Multi-view refactoring of class and activity diagrams using a multi-objective evolutionary algorithm. Software Quality Journal 25(2): 473-501 (2017) - [j95]Usman Mansoor, Marouane Kessentini, Bruce R. Maxim, Kalyanmoy Deb:
Multi-objective code-smells detection using good and bad design examples. Software Quality Journal 25(2): 529-552 (2017) - [j94]Vadlamani Ravi, Dadabada Pradeepkumar, Kalyanmoy Deb:
Financial time series prediction using hybrids of chaos theory, multi-layer perceptron and multi-objective evolutionary algorithms. Swarm and Evolutionary Computation 36: 136-149 (2017) - [j93]Ke Li, Kalyanmoy Deb, Qingfu Zhang, Qiang Zhang:
Efficient Nondomination Level Update Method for Steady-State Evolutionary Multiobjective Optimization. IEEE Trans. Cybernetics 47(9): 2838-2849 (2017) - [j92]Hai-Lin Liu, Lei Chen, Kalyanmoy Deb, Erik D. Goodman:
Investigating the Effect of Imbalance Between Convergence and Diversity in Evolutionary Multiobjective Algorithms. IEEE Trans. Evolutionary Computation 21(3): 408-425 (2017) - [j91]Xiaodong Li, Michael G. Epitropakis, Kalyanmoy Deb, Andries Petrus Engelbrecht:
Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications. IEEE Trans. Evolutionary Computation 21(4): 518-538 (2017) - [j90]Kalyanmoy Deb, Mohamed Abouhawwash, Haitham Seada:
A Computationally Fast Convergence Measure and Implementation for Single-, Multiple-, and Many-Objective Optimization. IEEE Trans. Emerging Topics in Comput. Intellig. 1(4): 280-293 (2017) - [j89]Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey:
Reducing the loss of agricultural productivity due to compact urban development in municipalities of Switzerland. Computers, Environment and Urban Systems 65: 162-177 (2017) - [c255]Rituparna Datta, Kalyanmoy Deb, Aviv Segev:
A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach. CEC 2017: 317-324 - [c254]Christie Myburgh, Kalyanmoy Deb:
Use of derived heuristics in improved performance of evolutionary optimization: An application to gold processing plant. CEC 2017: 830-837 - [c253]Abhinav Gaur, Kalyanmoy Deb:
Effect of size and order of variables in rules for multi-objective repair-based innovization procedure. CEC 2017: 2177-2184 - [c252]Hui Li, Kalyanmoy Deb:
Challenges for evolutionary multiobjective optimization algorithms in solving variable-length problems. CEC 2017: 2217-2224 - [c251]Shivam Kalra, Shahryar Rahnamayan, Kalyanmoy Deb:
Enhancing clearing-based niching method using Delaunay Triangulation. CEC 2017: 2328-2337 - [c250]Amin Ibrahim, Miguel Vargas Martin, Shahryar Rahnamayan, Kalyanmoy Deb:
Fusion-based hybrid many-objective optimization algorithm. CEC 2017: 2372-2381 - [c249]Ankur Sinha, Tharo Soun, Kalyanmoy Deb:
Evolutionary bilevel optimization using KKT proximity measure. CEC 2017: 2412-2419 - [c248]Ali Ahrari, Kalyanmoy Deb, Sankhya Mohanty, Jesper Henri Hattel:
Multi-objective optimization of cellular scanning strategy in selective laser melting. CEC 2017: 2730-2737 - [c247]Julian Blank, Kalyanmoy Deb, Sanaz Mostaghim:
Solving the Bi-objective Traveling Thief Problem with Multi-objective Evolutionary Algorithms. EMO 2017: 46-60 - [c246]Kalyanmoy Deb, Rayan Hussein, Proteek Chandan Roy, Gregorio Toscano:
Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results. EMO 2017: 160-175 - [c245]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
Fusion of Many-Objective Non-dominated Solutions Using Reference Points. EMO 2017: 314-328 - [c244]Ke Li, Kalyanmoy Deb, Okkes Tolga Altinöz, Xin Yao:
Empirical Investigations of Reference Point Based Methods When Facing a Massively Large Number of Objectives: First Results. EMO 2017: 390-405 - [c243]Haitham Seada, Mohamed Abouhawwash, Kalyanmoy Deb:
Towards a Better Balance of Diversity and Convergence in NSGA-III: First Results. EMO 2017: 545-559 - [c242]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
A Comparative Study of Fast Adaptive Preference-Guided Evolutionary Multi-objective Optimization. EMO 2017: 560-574 - [c241]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan:
Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms. EMO 2017: 590-605 - [c240]Daniel J. Couvertier, Erik D. Goodman, Kalyanmoy Deb:
Towards an epigenetics-inspired control system for power dispatch problem. GECCO (Companion) 2017: 147-148 - [c239]Yashesh D. Dhebar, Kalyanmoy Deb:
A computationally fast multimodal optimization with push enabled genetic algorithm. GECCO (Companion) 2017: 191-192 - [c238]Md. Jakirul Islam, Xiaodong Li, Kalyanmoy Deb:
Multimodal truss structure design using bilevel and niching based evolutionary algorithms. GECCO 2017: 274-281 - [c237]Jonas Schwaab, Kalyanmoy Deb, Erik D. Goodman, Sven Lautenbach, Maarten van Strien, Adrienne Grêt-Regamey:
Short versus long-term urban planning using multi-objective optimization. GECCO (Companion) 2017: 305-306 - [c236]Proteek Chandan Roy, Rayan Hussein, Kalyanmoy Deb:
Metamodeling for multimodal selection functions in evolutionary multi-objective optimization. GECCO 2017: 625-632 - [c235]Samineh Bagheri, Wolfgang Konen, Richard Allmendinger, Jürgen Branke, Kalyanmoy Deb, Jonathan E. Fieldsend, Domenico Quagliarella, Karthik Sindhya:
Constraint handling in efficient global optimization. GECCO 2017: 673-680 - [c234]Kalyanmoy Deb:
Recent advances in evolutionary multi-criterion optimization (EMO). GECCO (Companion) 2017: 702-735 - [c233]Bradley L. Barnhart, Zhichao Lu, Moriah Bostian, Ankur Sinha, Kalyanmoy Deb, Luba Kurkalova, Manoj Jha, Gerald Whittaker:
Handling practicalities in agricultural policy optimization for water quality improvements. GECCO 2017: 1065-1072 - [c232]Zhichao Lu, Kalyanmoy Deb, Erik D. Goodman, John M. Wassick:
Solving a supply-chain management problem using a bilevel approach. GECCO 2017: 1185-1192 - [c231]Abhinav Gaur, A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Santosh Tiwari, Simon Xu, Don Jones:
Finding near-optimum and diverse solutions for a large-scale engineering design problem. SSCI 2017: 1-8 - [p17]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Evolutionary Bilevel Optimization: An Introduction and Recent Advances. Recent Advances in Evolutionary Multi-objective Optimization 2017: 71-103 - [i17]Ke Li, Kalyanmoy Deb, Xin Yao:
Integration of Preferences in Decomposition Multi-Objective Optimization. CoRR abs/1701.05935 (2017) - [i16]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications. CoRR abs/1705.06270 (2017) - [i15]Zhun Fan, Wenji Li, Xinye Cai, Hui Li, Caimin Wei, Qingfu Zhang, Kalyanmoy Deb, Erik D. Goodman:
Push and Pull Search for Solving Constrained Multi-objective Optimization Problems. CoRR abs/1709.05915 (2017) - 2016
- [j88]Faez Ahmed, Kalyanmoy Deb, Bishakh Bhattacharya:
Structural topology optimization using multi-objective genetic algorithm with constructive solid geometry representation. Appl. Soft Comput. 39: 240-250 (2016) - [j87]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel Ó Cinnéide, Kalyanmoy Deb:
On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach. Empirical Software Engineering 21(6): 2503-2545 (2016) - [j86]Ralph E. Steuer, Markus Hirschberger, Kalyanmoy Deb:
Extracting from the relaxed for large-scale semi-continuous variable nondominated frontiers. J. Global Optimization 64(1): 33-48 (2016) - [j85]Rituparna Datta, Kalyanmoy Deb:
Uniform adaptive scaling of equality and inequality constraints within hybrid evolutionary-cum-classical optimization. Soft Comput. 20(6): 2367-2382 (2016) - [j84]Ankur Sinha, Pekka Malo, Kalyanmoy Deb, Pekka J. Korhonen, Jyrki Wallenius:
Solving Bilevel Multicriterion Optimization Problems With Lower Level Decision Uncertainty. IEEE Trans. Evolutionary Computation 20(2): 199-217 (2016) - [j83]Haitham Seada, Kalyanmoy Deb:
A Unified Evolutionary Optimization Procedure for Single, Multiple, and Many Objectives. IEEE Trans. Evolutionary Computation 20(3): 358-369 (2016) - [j82]Kalyanmoy Deb, Mohamed Abouhawwash:
An Optimality Theory-Based Proximity Measure for Set-Based Multiobjective Optimization. IEEE Trans. Evolutionary Computation 20(4): 515-528 (2016) - [j81]Ali Ouni, Marouane Kessentini, Houari A. Sahraoui, Katsuro Inoue, Kalyanmoy Deb:
Multi-Criteria Code Refactoring Using Search-Based Software Engineering: An Industrial Case Study. ACM Trans. Softw. Eng. Methodol. 25(3): 23:1-23:53 (2016) - [c230]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
3D-RadVis: Visualization of Pareto front in many-objective optimization. CEC 2016: 736-745 - [c229]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
EliteNSGA-III: An improved evolutionary many-objective optimization algorithm. CEC 2016: 973-982 - [c228]Mardé Helbig, Kalyanmoy Deb, Andries P. Engelbrecht:
Key challenges and future directions of dynamic multi-objective optimisation. CEC 2016: 1256-1261 - [c227]Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Solving optimistic bilevel programs by iteratively approximating lower level optimal value function. CEC 2016: 1877-1884 - [c226]Varun Suryan, Ankur Sinha, Pekka Malo, Kalyanmoy Deb:
Handling inverse optimal control problems using evolutionary bilevel optimization. CEC 2016: 1893-1900 - [c225]Proteek Chandan Roy, Kalyanmoy Deb:
High dimensional model representation for solving expensive multi-objective optimization problems. CEC 2016: 2490-2497 - [c224]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
A ranking and selection strategy for preference-based evolutionary multi-objective optimization of variable-noise problems. CEC 2016: 3035-3044 - [c223]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb:
Center-based initialization of cooperative co-evolutionary algorithm for large-scale optimization. CEC 2016: 3557-3565 - [c222]Gregorio Toscano, Kalyanmoy Deb:
Study of the approximation of the fitness landscape and the ranking process of scalarizing functions for many-objective problems. CEC 2016: 4358-4365 - [c221]Hai-Lin Liu, Lei Chen, Qingfu Zhang, Kalyanmoy Deb:
An evolutionary many-objective optimisation algorithm with adaptive region decomposition. CEC 2016: 4763-4769 - [c220]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb:
Hybrid Dynamic Resampling Algorithms for Evolutionary Multi-objective Optimization of Invariant-Noise Problems. EvoApplications (2) 2016: 311-326 - [c219]Abhinav Gaur, Kalyanmoy Deb:
Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms. GECCO (Companion) 2016: 75-76 - [c218]Haitham Ahmed Seada, Mohamed Abouhawwash, Kalyanmoy Deb:
Towards a Better Diversity of Evolutionary Multi-Criterion Optimization Algorithms using Local Searches. GECCO (Companion) 2016: 77-78 - [c217]