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ORCIDAntonio López Jaimes
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2020 – today
- 2024
[j11]Montserrat Alvarado-González, Antonio López Jaimes:
An Emotional-based Methodology to Detect Preferences in a Decision-making Process Applied to a Virtual Service Robot. J. Intell. Robotic Syst. 110(4): 145 (2024)
2010 – 2019
- 2019
- [j10]Saúl Zapotecas Martínez
, Abel García-Nájera, Antonio López Jaimes:
Multi-objective grey wolf optimizer based on decomposition. Expert Syst. Appl. 120: 357-371 (2019) - [j9]Saúl Zapotecas Martínez, Antonio López Jaimes, Abel García-Nájera:
LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization. Swarm Evol. Comput. 44: 404-419 (2019) - [c17]Alberto Rodríguez Sánchez, Antonin Ponsich, Antonio López Jaimes, Saúl Zapotecas Martínez:
A Parallel Tabu Search Heuristic to Approximate Uniform Designs for Reference Set Based MOEAs. EMO 2019: 254-265 - [c16]Alberto Rodríguez Sánchez, Antonin Ponsich, Antonio López Jaimes:
Generation techniques and a novel on-line adaptation strategy for weight vectors within decomposition-based MOEAs. GECCO (Companion) 2019: 229-230 - 2018
- [j8]Antonio López Jaimes, Jorge Cervantes-Ojeda, María del Carmen Gómez Fuentes, Alicia Montserrat Alvarado-González:
Simultaneous Evolution of Neuro-Controllers for Multiple Car-like Robots. Res. Comput. Sci. 147(10): 29-44 (2018) - [j7]Abel García-Nájera, Antonio López Jaimes:
An investigation into many-objective optimization on combinatorial problems: Analyzing the pickup and delivery problem. Swarm Evol. Comput. 38: 218-230 (2018) - [c15]Saúl Zapotecas Martínez, Antonio López Jaimes, Karen Miranda, Abel García-Nájera:
Decomposition-based Multi-Objective Evolutionary Optimization for Cluster-Head Selection in WSNs. CEC 2018: 1-8 - 2017
- [j6]Karen Miranda, Antonio López Jaimes, Abel García-Nájera:
Análisis multiobjetivo de la selección de líderes en redes inalámbricas de sensores. Res. Comput. Sci. 134: 111-125 (2017) - [c14]Abel García-Nájera, Antonio López Jaimes, Saúl Zapotecas Martínez:
On the Many-Objective Pickup and Delivery Problem: Analysis of the Performance of Three Evolutionary Algorithms. MICAI (1) 2017: 69-81 - 2016
- [c13]Antonio López Jaimes, Abel García-Nájera:
Discrete many-objective optimization problems: The case of the pickup and delivery problem. CEC 2016: 1123-1130 - 2015
- [j5]Abel García-Nájera, Antonio López Jaimes:
The Pickup and Delivery Problem: a Many-objective Analysis. Res. Comput. Sci. 104: 51-60 (2015) - [c12]Antonio López Jaimes, Akira Oyama, Kozo Fujii:
A ranking method based on two preference criteria: Chebyshev function and ∈-indicator. CEC 2015: 2827-2834 - [p3]Antonio López Jaimes, Carlos A. Coello Coello:
Many-Objective Problems: Challenges and Methods. Handbook of Computational Intelligence 2015: 1033-1046 - 2014
- [j4]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) - [j3]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) - [c11]Takeshi Watanabe, Tomoaki Tatsukawa, Antonio López Jaimes, Hikaru Aono, Taku Nonomura, Akira Oyama, Kozo Fujii:
Many-objective evolutionary computation for optimization of separated-flow control using a DBD plasma actuator. IEEE Congress on Evolutionary Computation 2014: 2849-2854 - 2013
- [j2]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) - [c10]Antonio López Jaimes, Akira Oyama, Kozo Fujii:
Space trajectory design: Analysis of a real-world many-objective optimization problem. IEEE Congress on Evolutionary Computation 2013: 2809-2816 - [c9]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 - 2011
- [c8]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 - [c7]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 - 2010
- [c6]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
2000 – 2009
- 2009
- [c5]Antonio López Jaimes, Carlos A. Coello Coello, Jesús E. Urías Barrientos:
Online Objective Reduction to Deal with Many-Objective Problems. EMO 2009: 423-437 - [c4]Antonio López Jaimes, Carlos A. Coello Coello:
Study of preference relations in many-objective optimization. GECCO 2009: 611-618 - [c3]Antonio López Jaimes, Carlos A. Coello Coello:
Some techniques to deal with many-objective problems. GECCO (Companion) 2009: 2693-2696 - [p2]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
- [c2]Antonio López Jaimes, Carlos A. Coello Coello, Debrup Chakraborty:
Objective reduction using a feature selection technique. GECCO 2008: 673-680 - [p1]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 - 2007
- [j1]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) - 2005
- [c1]Antonio López Jaimes, Carlos A. Coello Coello:
MRMOGA: parallel evolutionary multiobjective optimization using multiple resolutions. Congress on Evolutionary Computation 2005: 2294-2301
Coauthor Index
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