dcni@cua.uam.mx +52 (55) 5814 6534

Dr. Antonio López JaimesDEPARTAMENTO DE MATEMATICAS APLICADAS Y SISTEMAS

Resumen Curricular

Antonio López Jaimes estudió la Licenciatura en Computación en la UAM - Iztapalapa. El grado de maestría y doctorado los obtuvo en el Centro de Investigación y de Estudios Avanzados (CINVESTAV) -- Unidad Zacatenco en 2005 y 2011, respectivamente. Posteriormente realizó un postdoctorado de 2012 a 2014 en la Agencia de Exploración Aeroespacial de Japón (JAXA), en Sagamihara, Tokio. Actualmente es profesor de tiempo completo del Departamento de Matemáticas Aplicadas y Sistemas.

Área de interés/experiencia en investigación

  • Toma de decisiones en optimización multiobjetivo
  • Algoritmos Evolutivos
  • Optimización Multiobjetivo
  • Robótica Evolutiva
  • Computación paralela

Grupo de investigación: CEREBRALComputational nEuRoscience, Evolutionary roBotics and inteRfAces Laboratory

Publicaciones en Revistas

  1. Saúl Zapotecas Martı́nez, Abel Garcı́a Nájera y Antonio López Jaimes. Multi-objective grey wolf optimizer based on decomposition. En: Expert Systems with Applications 120
    (2019), págs. 357-371. ISSN: 0957-4174. 
  2. Saúl Zapotecas Martı́nez, Antonio López Jaimes y Abel Garcı́a Nájera. LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization. En:
    Swarm and Evolutionary Computation 44 (2019), págs. 404-419. ISSN: 2210-6502.
  3. Abel Garcı́a Nájera y Antonio López Jaimes. An investigation into many-objective optimization on combinatorial problems: Analyzing the pickup and delivery problem.
    En: Swarm and Evolutionary Computation (ago. de 2017). ISSN: 2210-6502.
  4. Abel García-Nájera y Antonio López Jaimes. The Pickup and Delivery Problem: A many-objective Analysis. Research in Computing Science, 104:51-60, 2015.
  5. Antonio López Jaimes y Carlos A. Coello Coello. Including Preferences into a Multiobjective Evolutionary Algorithm by Means of a Preference Relation Based on an Achievement Function. En: Information Sciences VV.NN (abr. de 2014). (Accepted for publication), p-p. ISSN: 0020-0255. DOI: 10.1016/j.ins.2014.02.002.
  6. Antonio López Jaimes, Carlos A. Coello Coello, Hernán Aguirre y Kiyoshi Tanaka. Objective Space Partitioning Using Conflict Information for Solving Many-Objective Problems. En: Information Sciences 268.0 (jun. de 2014). (Accepted for publication), págs. 305-327. ISSN: 0020-0255. DOI: 10.1016/j.ins.2014.02.002.
  7. Antonin Ponsich, Antonio López Jaimes y Carlos A. Coello Coello. A Survey on Multiobjective Evolutionary Algorithms for the Solution of the Portfolio Optimization Problem and other Finance and Economics Applications. En: IEEE Transactions on Evolutionary Computation 17.3 (jun. de 2013), págs. 321-344. ISSN: 1089-778X. DOI: 10.1109/TEVC.2012.2196800.
  8. Antonio López Jaimes y Carlos A. Coello Coello. MRMOGA: A New Parallel Multi-Objective Evolutionary Algorithm Based on the Use of Multiple Resolutions. En: Concurrency and Computation: Practice and Experience 19.4 (mar. de 2007), págs. 397-441. ISSN: 1532-0634. DOI: 10.1002/cpe.1107.

Memorias de Congreso

  1. Antonio López Jaimes, Jorge Cervantes Ojeda, Marı́a C. Gómez Fuentes y Alicia Montserrat Alvarado González. Simultaneous evolution of neuro-controllers for multiple car-like robots. En: Proceedings of the 17th Mexican International Conference on Artificial Intelligence (MICAI 2018). Oct. de 2018, págs. 1-16.
  2. Saúl Zapotecas Martı́nez, Antonio López Jaimes, Karen Miranda y Abel Garcı́a Nájera. Decomposition-based Multi-Objective Evolutionary Optimization for Cluster-Head Selection in WSNs. En: 2018 IEEE Congress on Evolutionary Computation (CEC). Jul. de 2018, págs. 1-8. 
  3. Abel Garcı́a-Nájera, Saúl Zapotecas Martı́nez y Antonio López Jaimes. On the many-objective pickup and delivery problem: Analysis of the performance of three evolutionary algorithms. En: Proceedings of the 16th Mexican International Conference on Artificial
    Intelligence. Oct. de 2017.
  4. Antonio López Jaimes y Abel García-Nájera. Discrete Many-objective Optimization Problems: The case of the Pickup and Delivery Problem. En: 2016 IEEE Conference on Evolutionary Computation. Jul. de 2016, págs. 1123-1130.
  5. Antonio López Jaimes, Akira Oyama y Kozo Fujii. A Ranking Method Based on Two Preference Criteria: Chebyshev Function and Epsilon-Indicator. En: 2015 IEEE Conference on Evolutionary Computation. Mayo de 2015, págs. 2827-2834.
  6. Takeshi Watanabe, Tomoaki Tatsukawa, Antonio López Jaimes, Hikari Aono, Taku Nonomura, Akira Oyama y Kozo Fujii. Many-objective evolutionary computation for optimization of separated-flow control using DBD plasma actuator. En: 2014 IEEE Conference on Evolutionary Computation. Vol. v. Jun. de 2014, p-p.
  7. Antonio López Jaimes, Akira Oyama y Kozo Fujii. Space Trajectory Design: Analysis of a Real-World Many-Objective Optimization Problem. En: 2013 IEEE Conference on Evolutionary Computation. Vol. 1. Jun. de 2013, págs. 2809-2816.
  8. Antonio López Jaimes, Carlos A. Coello Coello, Akira Oyama y Fujii Kozo. An Alternative Preference Relation to Deal with Many-Objective Optimization Problems. En: Evolutionary Multi-criterion Optimization. 7th international conference, EMO’2013. Mar. de 2013.
  9. Antonio López Jaimes y Alfredo Arias-Montaño Carlos A. Coello Coello. Preference Incorporation to Solve Many-Objective Airfoil Design Problems. En: 2011 IEEE Congress on Evolutionary Computation (CEC’2011). New Orleans, USA: IEEE Press, jun. de 2011.
  10. Antonio López Jaimes, Carlos A. Coello Coello, Hernán Aguirre y Kiyoshi Tanaka. Adaptive Objective Space Partitioning Using Conflict Information for Many-objective Optimization. En: Evolutionary Multi-criterion Optimization. 6th international conference, EMO’2011. Ed. por Ricardo H.C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner y Salvatore Grecco. Ouro Preto, Brazil: Springer. Lecture Notes in Computer Science Vol. 6576, abr. de 2011, págs. 151-165.
  11. Antonio López Jaimes, Hernán Aguirre, Kiyoshi Tanaka y Carlos A. Coello Coello. Objective Space Partitioning Using Conflict Information for Many-Objective Optimization. En: Parallel Problem Solving from Nature – PPSN XI. Ed. por Robert Schaefer, Carlos Cotta, Joanna Kolodziej y Günter Rudolph. Vol. 6238. Lecture Notes in Computer Science. Springer Berlin / Heidelberg, sep. de 2010, págs. 657-666.
  12. Antonio López Jaimes, Carlos A. Coello Coello y Jesús E. Urías Barrientos. Online Objective Reduction to Deal with Many-Objective Problems. En: Evolutionary Multi-criterion Optimization. 5th international conference, EMO’2009. Ed. por Matthias Ehrgott, Carlos M. Fonseca, Xavier Gandibleux, Jin-Kao Hao y Marc Sevaux. Nantes, France: Springer. Lecture Notes in Computer Science Vol. 5467, abr. de 2009, págs. 423-437.
  13. Antonio López Jaimes y Carlos A. Coello Coello. Study of Preference Relations in Many-objective Optimization. En: 2009 Genetic and Evolutionary Computation Conference (GECCO’2009). Montreal, Canada: ACM Press, jul. de 2009, págs. 611-618.
  14. Antonio López Jaimes y Carlos A. Coello Coello. Handling Highly Multiobjective Problems by Objective Reduction. En: Avances en Computación Evolutiva. Memorias del IV Congreso Mexicano de Computación Evolutiva 2008. Oct. de 2008.
  15. Antonio López Jaimes, Carlos A. Coello Coello y Debrup Chakraborty. Objective Reduction Using a Feature Selection Technique. En: 2008 Genetic and Evolutionary Computation Conference (GECCO’2008). Atlanta, USA: ACM Press, jul. de 2008, págs. 674-680.
  16. Antonio López Jaimes y Carlos A. Coello Coello. MRMOGA: Parallel Evolutionary Multiobjective Optimization using Multiple Resolutions. En: 2005 IEEE Congress on Evolutionary Computation (CEC’2005). Vol. 3. Edinburgh, Scotland: IEEE Service Center, sep. de 2005, págs. 2294-2301.

Capítulos en Libros

Libros

Formación de Recursos Humanos

Otra Información de Relevancia Académica

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