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2020 – today
- 2024
[j24]José Á. Morell
, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
A multi-objective approach for communication reduction in federated learning under devices heterogeneity constraints. Future Gener. Comput. Syst. 155: 367-383 (2024)- [c52]Tomohiro Harada, Enrique Alba, Gabriel Luque:
Energy and Quality of Surrogate-Assisted Search Algorithms: a First Analysis. CEC 2024: 1-8 - [c51]Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque:
An Evolutionary Deep Learning Approach for Efficient Quantum Algorithms Transpilation. EvoApplications@EvoStar 2024: 240-255 - [c50]Diego Daniel Pedroza-Perez, Jamal Toutouh, Gabriel Luque:
Optimizing Urban Infrastructure for E-Scooter Mobility. EvoApplications@EvoStar 2024: 341-357 - [c49]Diego Daniel Pedroza-Perez, Jamal Toutouh, Gabriel Luque:
Redesigning road infrastructure to integrate e-scooter micromobility as part of multimodal transportation. GECCO 2024 - [c48]Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Bilel Derbel, Enrique Alba:
Scalable Quantum Approximate Optimiser for Pseudo-Boolean Multi-objective Optimisation. PPSN (4) 2024: 268-284 - 2023
- [j23]Carolina Salto, Gabriela F. Minetti, Enrique Alba, Gabriel Luque:
Big optimization with genetic algorithms: Hadoop, Spark, and MPI. Soft Comput. 27(16): 11469-11484 (2023) - [c47]Andrea Villagra, Gabriel Luque:
A Surrogate Function in Cellular GA for the Traffic Light Scheduling Problem. EvoApplications@EvoStar 2023: 783-797 - [c46]Francisco Chicano, Zakaria Abdelmoiz Dahi, Gabriel Luque:
An Efficient QAOA via a Polynomial QPU-Needless Approach. GECCO Companion 2023: 2187-2194 - [c45]José Ángel Morell Martínez, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities. OLA 2023: 368-379 - [c44]Diego Daniel Pedroza-Perez, Jamal Toutouh, Gabriel Luque:
E-scooters Routes Potential: Open Data Analysis in Current Infrastructure. Malaga Case. OLA 2023: 380-392 - 2022
- [j22]Zakaria Abdelmoiz Dahi, Enrique Alba, Gabriel Luque:
A takeover time-driven adaptive evolutionary algorithm for mobile user tracking in pre-5G cellular networks. Appl. Soft Comput. 116: 107992 (2022) - [j21]Tomohiro Harada, Enrique Alba, Gabriel Luque:
A fresh approach to evaluate performance in distributed parallel genetic algorithms. Appl. Soft Comput. 119: 108540 (2022) - [c43]José Ángel Morell Martínez, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
Optimising Communication Overhead in Federated Learning Using NSGA-II. EvoApplications 2022: 317-333 - [c42]Zakaria Abdelmoiz Dahi, Gabriel Luque, Enrique Alba:
A Machine Learning-Based Approach for Economics-Tailored Applications: The Spanish Case Study. EvoApplications 2022: 567-583 - [c41]Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
Genetic algorithm for qubits initialisation in noisy intermediate-scale quantum machines: the IBM case study. GECCO 2022: 1164-1172 - [i3]José Ángel Morell Martínez, Zakaria Abdelmoiz Dahi, Francisco Chicano, Gabriel Luque, Enrique Alba:
Optimising Communication Overhead in Federated Learning Using NSGA-II. CoRR abs/2204.02183 (2022) - 2021
- [e3]Enrique Alba, Gabriel Luque, Francisco Chicano, Carlos Cotta, David Camacho, Manuel Ojeda-Aciego, Susana Montes, Alicia Troncoso, José C. Riquelme, Rodrigo Gil-Merino:
Advances in Artificial Intelligence - 19th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2020/2021, Málaga, Spain, September 22-24, 2021, Proceedings. Lecture Notes in Computer Science 12882, Springer 2021, ISBN 978-3-030-85712-7 [contents] - [i2]Tomohiro Harada, Enrique Alba, Gabriel Luque:
A Fresh Approach to Evaluate Performance in Distributed Parallel Genetic Algorithms. CoRR abs/2106.09922 (2021) - 2020
- [j20]Abdelkamel Ben Ali, Gabriel Luque, Enrique Alba:
An efficient discrete PSO coupled with a fast local search heuristic for the DNA fragment assembly problem. Inf. Sci. 512: 880-908 (2020) - [j19]Andrea Villagra, Enrique Alba, Gabriel Luque:
A better understanding on traffic light scheduling: New cellular GAs and new in-depth analysis of solutions. J. Comput. Sci. 41: 101085 (2020) - [j18]Amr Abdelhafez, Gabriel Luque, Enrique Alba:
Parallel execution combinatorics with metaheuristics: Comparative study. Swarm Evol. Comput. 55: 100692 (2020)
2010 – 2019
- 2019
- [j17]Eduardo Segredo, Gabriel Luque, Carlos Segura, Enrique Alba:
Optimising Real-World Traffic Cycle Programs by Using Evolutionary Computation. IEEE Access 7: 43915-43932 (2019) - [j16]Amr Abdelhafez, Enrique Alba, Gabriel Luque:
Performance analysis of synchronous and asynchronous distributed genetic algorithms on multiprocessors. Swarm Evol. Comput. 49: 147-157 (2019) - [j15]Amr Abdelhafez, Enrique Alba, Gabriel Luque:
A component-based study of energy consumption for sequential and parallel genetic algorithms. J. Supercomput. 75(10): 6194-6219 (2019) - [c40]Stefka Fidanova, Gabriel Luque, Olympia Roeva, Maria Ganzha:
Ant Colony Optimization Algorithm for Workforce Planning: Influence of the Evaporation Parameter. FedCSIS 2019: 177-181 - [c39]Amr Abdelhafez, Gabriel Luque, Enrique Alba:
Analyzing the Energy Consumption of Sequential and Parallel Metaheuristics. HPCS 2019: 121-128 - 2018
- [c38]Carolina Salto, Gabriela F. Minetti, Enrique Alba, Gabriel Luque:
Developing Genetic Algorithms Using Different MapReduce Frameworks: MPI vs. Hadoop. CAEPIA 2018: 262-272 - [c37]Stefka Fidanova, Gabriel Luque, Olympia Roeva, Marcin Paprzycki, Pawel Gepner:
Hybrid Ant Colony Optimization Algorithm for Workforce Planning. FedCSIS 2018: 233-236 - [c36]Gabriel Luque, Enrique Alba:
Finding Best Compiler Options for Critical Software Using Parallel Algorithms. IDC 2018: 71-81 - 2017
- [j14]Abdelkamel Ben Ali, Gabriel Luque, Enrique Alba, Kamal E. Melkemi:
An improved problem aware local search algorithm for the DNA fragment assembly problem. Soft Comput. 21(7): 1709-1720 (2017) - [j13]Gabriela F. Minetti, Gabriel Luque, Enrique Alba:
The Problem Aware Local Search algorithm: an efficient technique for permutation-based problems. Soft Comput. 21(18): 5193-5206 (2017) - [c35]Olympia Roeva, Stefka Fidanova, Gabriel Luque, Marcin Paprzycki:
Intercriteria Analysis of ACO Performance for Workforce Planning Problem. WCO@FedCSIS 2017: 47-67 - [c34]Stefka Fidanova, Gabriel Luque, Olympia Roeva, Marcin Paprzycki, Pawel Gepner:
Ant Colony Optimization Algorithm for Workforce Planning. FedCSIS 2017: 415-419 - [c33]Gabriel Luque, Enrique Alba:
Designing an Efficient Self-adaptive Parallel Algorithm Using Math Oracles. INCoS 2017: 313-325 - [e2]Enrique Alba, Francisco Chicano, Gabriel Luque:
Smart Cities - Second International Conference, Smart-CT 2017, Málaga, Spain, June 14-16, 2017, Proceedings. Lecture Notes in Computer Science 10268, Springer 2017, ISBN 978-3-319-59512-2 [contents] - 2016
- [j12]Yesnier Bravo, Gabriel Luque, Enrique Alba:
Global memory schemes for dynamic optimization. Nat. Comput. 15(2): 319-333 (2016) - [c32]Dimitris Souravlias, Gabriel Luque, Enrique Alba, Konstantinos E. Parsopoulos:
Smart Traffic Lights: A First Parallel Computing Approach. INCoS 2016: 229-236 - [c31]Yesnier Bravo, Javier Ferrer, Gabriel Luque, Enrique Alba:
Smart Mobility by Optimizing the Traffic Lights: A New Tool for Traffic Control Centers. Smart-CT 2016: 147-156 - [e1]Enrique Alba, Francisco Chicano, Gabriel Luque:
Smart Cities - First International Conference, Smart-CT 2016, Málaga, Spain, June 15-17, 2016, Proceedings. Lecture Notes in Computer Science 9704, Springer 2016, ISBN 978-3-319-39594-4 [contents] - 2015
- [j11]Yesnier Bravo, Gabriel Luque, Enrique Alba:
Takeover Time in Evolutionary Dynamic Optimization: From theory to practice. Appl. Math. Comput. 250: 94-104 (2015) - [c30]Gabriel Luque, Enrique Alba:
Parallel Hybrid Trajectory Based Metaheuristics for Real-World Problems. INCoS 2015: 184-191 - 2014
- [c29]Gabriel Luque, Enrique Alba:
Enhancing parallel cooperative trajectory based metaheuristics with path relinking. GECCO 2014: 1039-1046 - 2013
- [j10]Enrique Alba, Gabriel Luque, Sergio Nesmachnow:
Parallel metaheuristics: recent advances and new trends. Int. Trans. Oper. Res. 20(1): 1-48 (2013) - [c28]Karel Osorio, Enrique Alba, Gabriel Luque:
Using theory to self-tune migration periods in distributed genetic algorithms. IEEE Congress on Evolutionary Computation 2013: 2595-2601 - [c27]Yesnier Bravo, Gabriel Luque, Enrique Alba:
Takeover time in dynamic optimization problems. CIDUE 2013: 25-30 - [c26]Yesnier Bravo, Gabriel Luque, Enrique Alba:
Migrants Selection and Replacement in Distributed Evolutionary Algorithms for Dynamic Optimization. DCAI 2013: 155-162 - [c25]Gabriel Luque, Enrique Alba:
Math oracles: a new way of designing efficient self-adaptive algorithms. GECCO (Companion) 2013: 217-218 - [c24]Francisco Chicano, Gabriel Luque, Enrique Alba:
Problem understanding through landscape theory. GECCO (Companion) 2013: 1055-1062 - 2012
- [j9]Francisco Chicano, Gabriel Luque, Enrique Alba:
Autocorrelation measures for the quadratic assignment problem. Appl. Math. Lett. 25(4): 698-705 (2012) - [c23]Gabriel Luque, Francisco Luna, Enrique Alba:
Enhanced Parallel Cooperative Model for Trajectory Based Metaheuristics: A Scalability Analysis. IPDPS Workshops 2012: 656-660 - [c22]Yesnier Bravo, Gabriel Luque, Enrique Alba:
Influence of the Migration Period in Parallel Distributed GAs for Dynamic Optimization. LION 2012: 343-348 - [c21]Gabriel Luque, Enrique Alba:
Analyzing the Behaviour of Population-Based Algorithms Using Rayleigh Distribution. PPSN (1) 2012: 417-427 - 2011
- [b1]Gabriel Luque, Enrique Alba:
Parallel Genetic Algorithms. Studies in Computational Intelligence 367, Springer 2011, ISBN 978-3-642-22083-8, pp. 3-147 - [c20]Gabriel Luque, Francisco Luna, Enrique Alba, Sergio Nesmachnow:
Exploring the Accuracy of a Parallel Cooperative Model for Trajectory-Based Metaheuristics. EUROCAST (1) 2011: 319-326 - [c19]Karel Osorio, Gabriel Luque, Enrique Alba:
Distributed evolutionary algorithms with adaptive migration period. ISDA 2011: 259-264 - [c18]Aracelys Garcia, Gabriel Luque, Enrique Alba:
Influence of parallel metrics in the analysis of parallel metaheuristic algorithms. ISDA 2011: 748-753 - [i1]Francisco Chicano, Gabriel Luque, Enrique Alba:
Elementary Components of the Quadratic Assignment Problem. CoRR abs/1109.4875 (2011) - 2010
- [c17]Gabriel Luque, Francisco Luna, Enrique Alba:
A New Parallel Cooperative Model for Trajectory Based Metaheuristics. DCAI 2010: 559-567 - [c16]Gabriel Luque, Enrique Alba:
Selection pressure and takeover time of distributed evolutionary algorithms. GECCO 2010: 1083-1088 - [c15]Francisco Chicano, Gabriel Luque, Enrique Alba:
Elementary landscape decomposition of the quadratic assignment problem. GECCO 2010: 1425-1432
2000 – 2009
- 2009
- [c14]Enrique Alba, Gabriel Luque, Daniel Arias:
Impact of Frequency and Severity on Non-Stationary Optimization Problems. EvoWorkshops 2009: 755-761 - [c13]Gabriel Luque, Enrique Alba, Bernabé Dorronsoro:
An asynchronous parallel implementation of a cellular genetic algorithm for combinatorial optimization. GECCO 2009: 1395-1402 - 2008
- [j8]Antonio J. Nebro, Gabriel Luque, Francisco Luna, Enrique Alba:
DNA fragment assembly using a grid-based genetic algorithm. Comput. Oper. Res. 35(9): 2776-2790 (2008) - [j7]Gabriela F. Minetti, Enrique Alba, Gabriel Luque:
Seeding strategies and recombination operators for solving the DNA fragment assembly problem. Inf. Process. Lett. 108(3): 94-100 (2008) - [c12]Bernabé Dorronsoro, Enrique Alba, Gabriel Luque, Pascal Bouvry:
A self-adaptive cellular memetic algorithm for the DNA fragment assembly problem. IEEE Congress on Evolutionary Computation 2008: 2651-2658 - [c11]Gabriela F. Minetti, Gabriel Luque, Enrique Alba:
Variable Neighborhood Search as Genetic Algorithm Operator for DNA Fragment Assembling Problem. HIS 2008: 714-719 - [p4]Enrique Alba, Gabriel Luque:
A Hybrid Genetic Algorithm for the DNA Fragment Assembly Problem. Recent Advances in Evolutionary Computation for Combinatorial Optimization 2008: 101-112 - 2007
- [j6]Julio Madera, Enrique Alba, Gabriel Luque:
Performance Evaluation of the Parallel Polytree Approximation Distribution Algorithm on Three Network Technologies. Inteligencia Artif. 11(35): 67-76 (2007) - [j5]Enrique Alba, Gabriel Luque, Francisco Luna:
Parallel Metaheuristics for Workforce Planning. J. Math. Model. Algorithms 6(3): 509-528 (2007) - [j4]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) - [c10]Enrique Alba, Alejandro Cervantes, J. A. Gómez, Pedro Isasi, M. D. Jaraíz, Coromoto León, Gabriel Luque, Francisco Luna, Gara Miranda, Antonio J. Nebro, Raúl Pérez, Carlos Segura:
Metaheuristic Approaches for Optimal Broadcasting Design in Metropolitan MANETs. EUROCAST 2007: 755-763 - [c9]Enrique Alba, Gabriel Luque:
A New Local Search Algorithm for the DNA Fragment Assembly Problem. EvoCOP 2007: 1-12 - [c8]Enrique Alba, Gabriel Luque:
Designing a Parallel GA for Large Instances of the Workforce Planning Problem. ISDA 2007: 823-830 - [p3]Enrique Alba, Juan F. Saucedo Badia, Gabriel Luque:
A Study of Canonical GAs for NSOPs. Metaheuristics 2007: 245-260 - [p2]Antonio J. Nebro, Gabriel Luque, Enrique Alba:
DNA Fragment Assembly Using Grid Systems. Grid Computing for Bioinformatics and Computational Biology 2007: 357-374 - 2006
- [j3]Enrique Alba, Gabriel Luque, Lourdes Araujo:
Natural language tagging with genetic algorithms. Inf. Process. Lett. 100(5): 173-182 (2006) - [j2]Enrique Alba, Francisco Almeida, Maria J. Blesa, Carlos Cotta, Manuel Díaz, Isabel Dorta, Joaquim Gabarró, Coromoto León, Gabriel Luque, Jordi Petit:
Efficient parallel LAN/WAN algorithms for optimization. The mallba project. Parallel Comput. 32(5-6): 415-440 (2006) - [c7]Enrique Alba, Gabriel Luque, Francisco Luna:
Workforce planning with parallel algorithms. IPDPS 2006 - [p1]Enrique Alba, Gabriel Luque:
Performance of Distributed GAs on DNA Fragment Assembly. Parallel Evolutionary Computations 2006: 97-115 - 2005
- [c6]Enrique Alba, Gabriel Luque, Sami Khuri:
Assembling DNA fragments with parallel algorithms. Congress on Evolutionary Computation 2005: 57-64 - [c5]Enrique Alba, Gabriel Luque:
Theoretical models of selection pressure for dEAs: topology influence. Congress on Evolutionary Computation 2005: 214-221 - [r1]Antonio J. Nebro, Gabriel Luque, Francisco Luna, Enrique Alba, J. Francisco Chicano:
Advanced Evolutionary Algorithms for Training Neural Networks. Handbook of Bioinspired Algorithms and Applications 2005 - 2004
- [j1]Enrique Alba, Gabriel Luque, José M. Troya:
Parallel LAN/WAN heuristics for optimization. Parallel Comput. 30(5-6): 611-628 (2004) - [c4]Enrique Alba, Gabriel Luque:
Growth Curves and Takeover Time in Distributed Evolutionary Algorithms. GECCO (1) 2004: 864-876 - [c3]Lourdes Araujo, Gabriel Luque, Enrique Alba:
Metaheuristics for Natural Language Tagging. GECCO (1) 2004: 889-900 - 2003
- [c2]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 - [c1]Enrique Alba, Gabriel Luque:
Parallel LAN/WAN Heuristics for Optimization. IPDPS 2003: 147
Coauthor Index
[j24] [c52] [c48] [j23] [c45] [j22] [j21] [c43] [c42] [c41] [i3] [e3] [i2] [j20] [j19] [j18] [j17] [j16] [j15] [c39] [c38] [c36] [j14] [j13] [c33] [e2] [j12] [c32] [c31] [e1] [j11] [c30] [c29] [j10] [c28] [c27] [c26] [c25] [c24] [j9] [c23] [c22] [c21] [b1] [c20] [c19] [c18] [i1] [c17] [c16] [c15] [c14] [c13] [j8] [j7] [c12] [c11] [p4] [j6] [j5] [j4] [c10] [c9] [c8] [p3] [p2] [j3] [j2] [c7] [p1] [c6] [c5] [r1] [j1] [c4] [c3] [c2] [c1]
Francisco Chicano
aka: J. Francisco Chicano
aka: J. Francisco Chicano
Zakaria Abd El Moiz Dahi
aka: Zakaria Abdelmoiz Dahi
aka: Zakaria Abdelmoiz Dahi
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last updated on 2024-09-21 23:42 CEST by the dblp team
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