Peer-reviewed International Conference Papers

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Peer-reviewed International Conference Papers

2024

  • A. E. P. Castillo, L. A. N. Lázaro, D. F. R. Camera, R. Díaz-Hernández, L. Altamirano-Robles, S. Zapotecas-Martínez, and S. E. A. Raggi (2024). “Improving COVID-19 Recognition: A Study of Contrast Enhancement Techniques and Normalization in Chest X-Rays Images”. In: IEEE 37th International Symposium on Computer Based Medical Systems (CBMS’2024). IEEE Press, (To appear).
  • O. Ramos-Soto, A. C. Ordaz, D. Oliva, S. E. Balderas-Mata, and S. Zapotecas-Martínez (2024). “Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising”. In: IEEE 37th International Symposium on Computer Based Medical Systems (CBMS’2024). IEEE Press, (To appear).
  • M. A. Jiménez-Domínguez, N. A. García-Rojas, S. Zapotecas-Martínez, R. D. Hernández, and L. Altamirano-Robles (2024). “Exploring multi-objective evolutionary approaches for path planning of autonomous mobile robots”. In: 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE Press, (To Appear).
  • A. Valdivia, I. Aranguren, J. Ramos-Frutos, A. Casas-Ordaz, D. Oliva, and S. Zapotecas-Martínez (2024). “Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy”. In: Metaheuristics (MIC’2024). Springer Nature Switzerland, pp. 279–291. DOI: https://doi.org/10.1007/978-3-031-62922-8_19.

2023

  • E. M. Ceja-Cruz, A. Menchaca-Méndez, E. Montero, and S. Zapotecas-Martínez (2023). “An Archive-Based Multi-Objective Simulated Annealing Algorithm for the Time/Weight-Balanced Cluster Problem in Delivery Logistics”. In: 2023 IEEE Congress on Evolutionary Computation (CEC). IEEE Press, pp. 1–8. DOI: https://doi.org/10.1109/CEC53210.2023.10253992.
  • L. Pérez-Enríquez, S. Zapotecas-Martínez, D. Oliva, and L. Altamirano-Robles (2023). “Hyperbolic tangent sigmoid as a transformation function for image contrast enhancement”. In: 2023 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE Press, pp. 282–287. DOI: https://doi.org/10.1109/SSCI52147.2023.10371971.

2021

  • J. G. Falcón-Cardona, S. Zapotecas-Martínez, and A. García-Nájera (2021). “Pareto compliance from a practical point of view”. In: Genetic and Evolutionary Computation Conference (GECCO’21). ACM Press, pp. 395–402. DOI: https://doi.org/10.1145/3449639.3459276.
  • A. García-Nájera, S. Zapotecas-Martínez, J. G. Falcón-Cardona, and H. Cervantes (2021). “Multi-objective release plan rescheduling in agile software development”. In: Mexican International Conference on Artificial Intelligence (MICAI’2021). Springer, pp. 403–414. Best Paper Award. DOI: https://doi.org/10.1007/978-3-030-89817-5_30.
  • H. M. Maldonado and S. Zapotecas-Martínez (2021). “A Dynamic Penalty Function within MOEA/D for Constrained Multiobjective Optimization Problems”. In: 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE Press, pp. 1470–1477. DOI: https://doi.org/10.1109/CEC45853.2021.9504940.

2020

  • A. García-Nájera, S. Zapotecas-Martínez, and R. Bernal-Jaquez (2020). “Selection Schemes Analysis in Genetic Algorithms for the Maximum Influence Problem”. In: Mexican International Conference on Artificial Intelligence (MICAI'2020). Springer, pp. 211–222. DOI: https://doi.org/10.1007/978-3-030-60884-2_16.
  • S. Zapotecas-Martínez, A. García-Nájera, and H. Cervantes (2020). “Multi-objective Optimization in the Agile Software Project Scheduling using Decomposition”. In: Genetic and Evolutionary Computation Conference Companion (GECCO’20 Companion). ACM Press, pp. 1495–1502. DOI: https://doi.org/10.1145/3377929.3398146.
  • S. Zapotecas-Martínez and A. Menchaca-Méndez (2020). “On the Performance of Generational and Steady-State MOEA/D in the Multi-Objective 0/1 Knapsack Problem”. In: 2020 IEEE Congress on Evolutionary Computation (CEC). IEEE Press, pp. 1–8. DOI: https://doi.org/10.1145/3377929.3398146.
  • S. Zapotecas-Martínez and A. Ponsich (2020). “Constraint Handling within MOEA/D Through an Additional Scalarizing Function”. In: Genetic and Evolutionary Computation Conference (GECCO’20). ACM Press, pp. 595–602. DOI: https://doi.org/10.1145/3377930.3390240.

2019

  • Y. Marca, H. Aguirre, S. Zapotecas, A. Liefooghe, B. Derbel, S. Verel, and K. Tanaka (2019). “Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems”. In: International Conference on Evolutionary Multi-Criterion Optimization. Springer, pp. 386–398. Best Paper Award. DOI: https://doi.org/10.1007/978-3-030-12598-1_31.
  • A. Rodríguez Sánchez, A. Ponsich, A. López Jaimes, and S. Zapotecas Martínez (2019). “A parallel Tabu Search heuristic to approximate Uniform Designs for reference set based MOEAs”. In: International Conference on Evolutionary Multi-Criterion Optimization. Springer, pp. 254–265. DOI: https://doi.org/10.1007/978-3-030-12598-1_21.

2018

  • Y. Marca, H. Aguirre, S. Zapotecas, A. Liefooghe, B. Derbel, S. Verel, and K. Tanaka (2018). “Pareto Dominance-based MOEAs on Problems with Difficult Pareto Set Topologies”. In: GECCO (Companion). ACM Press, pp. 189–190. DOI: https://doi.org/10.1145/3205651.3205746.
  • E. Montero and S. Zapotecas-Martínez (2018). “An Analysis of Parameters of Decomposition-Based MOEAs on Many-Objective Optimization”. In: 2018 IEEE Congress on Evolutionary Computation (CEC’2018). IEEE Press, pp. 1–8. DOI: https://doi.org/10.1109/CEC.2018.8477648.
  • S. Zapotecas-Martínez, A. López-Jaimes, K. Miranda, and A. García-Nájera (2018). “Decomposition-based Multi-Objective Evolutionary Optimization for Cluster-Head Selection in WSNs”. In: 2018 IEEE Congress on Evolutionary Computation (CEC’2018). IEEE Press, pp. 1–8. DOI: https://doi.org/10.1109/CEC.2018.8477778.

2017

  • A. García-Nájera, A. López-Jaimes, and S. Zapotecas-Martínez (2017). “On the Many-Objective Pickup and Delivery Problem: Analysis of the Performance of Three Evolutionary Algorithms”. In: Mexican International Conference on Artificial Intelligence. Springer, pp. 69–81. Best Paper Award. DOI: https://doi.org/10.1007/978-3-030-02837-4_6.

2016

  • W. Ren Tan, S. Zapotecas-Martínez, H. E. Aguirre, and K. Tanaka (2016). “A Refinement Mechanism to Improve Particle Swarm Optimization”. In: 2016 IEEE Congress on Evolutionary Computation (CEC’2016). IEEE Press, pp. 2049–2056. DOI: https://doi.org/10.1109/CEC.2016.7744040.
  • S. Zapotecas-Martínez, S. Jacquin, H. E. Aguirre, and K. Tanaka (2016). “Analysis and Comparison of Multi-objective Evolutionary Approaches on the Multi-Objective 1/0 Unit Commitment Problem”. In: 2016 IEEE Congress on Evolutionary Computation (CEC’2016). IEEE Press, pp. 3019–3026. DOI: https://doi.org/10.1109/CEC.2016.7744171.
  • S. Zapotecas-Martínez, A. Moraglio, H. E. Aguirre, and K. Tanaka (2016). “Geometric Particle Swarm Optimization for Multi-objective Optimization Using Decomposition”. In: Proceedings of the 18th annual conference on Genetic and Evolutionary Computation (GECCO’2016). ACM Press, pp. 69–76. DOI: https://doi.org/10.1145/2908812.2908880.

2015

  • H. E. Aguirre, S. Zapotecas-Martínez, A. Liefooghe, S. Verel, and K. Tanaka (2015). “Approaches for Many-objective Optimization: Analysis and Comparison on MNK-landscapes”. In: Artificial Evolution - 12th International Conference, Evolution Artificielle, EA 2015. Springer, pp. 14–28. DOI: https://doi.org/10.1007/978-3-319-31471-6_2.
  • R. Armas, H. E. Aguirre, S. Zapotecas-Martínez, and K. Tanaka (2015). “Traffic Signal Optimization: Minimizing Travel Time and Fuel Consumption”. In: Artificial Evolution - 12th International Conference, Evolution Artificielle, EA 2015. Springer, pp. 29–43. DOI: https://doi.org/10.1007/978-3-319-31471-6_3.
  • T. Yeoh, S. Zapotecas-Martínez, Y. Akimoto, H. Aguirre, and K. Tanaka (2015). “Feature Selection in Gait Classification using Geometric PSO Assisted by SVM”. In: 16th International Conference on Computer Analysis of Images and Patterns (CAIP’2015). Springer, pp. 566–578. DOI: https://doi.org/10.1007/978-3-319-23117-4_49.
  • S. Zapotecas-Martínez, H. E. Aguirre, K. Tanaka, and C. A. Coello Coello (2015). “On the Low-Dyscrepancy Sequences and Their use in MOEA/D for High-Dimensional Objective Spaces”. In: 2015 IEEE Congress on Evolutionary Computation (CEC’2015). IEEE Press, pp. 2835–2842. DOI: https://doi.org/10.1109/CEC.2015.7257241.
  • S. Zapotecas-Martínez, B. Derbel, A. Liefooghe, H. E. Aguirre, and K. Tanaka (2015). “Geometric Differential Evolution in MOEA/D: A Preliminary Study”. In: Mexican International Conference on Artificial Intelligence (MICAI’2015). Springer, pp. 364–376. DOI: https://doi.org/10.1007/978-3-319-27060-9_30.
  • S. Zapotecas-Martínez, B. Derbel, A. Liefooghe, D. Brockhoff, H. E. Aguirre, and K. Tanaka (2015). “Injecting CMA-ES into MOEA/D”. In: Proceedings of the 17th annual conference on Genetic and Evolutionary Computation (GECCO’2015). ACM Press, pp. 783–790. DOI: https://doi.org/10.1145/2739480.2754754.

2014

  • T. Yeoh, S. Zapotecas Martínez, Y. Akimoto, H. E. Aguirre, and K. Tanaka (2014). “Genetic Algorithm Assisted by a SVM for Feature Selection in Gait Classification”. In: 2014 IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS’2014). IEEE Press, pp. 191–195. DOI: https://doi.org/10.1109/ISPACS.2014.7024450.
  • S. Zapotecas Martínez, A. Arias Montaño, and C. A. Coello Coello (2014). “Constrained Multi-Objective Aerodynamic Shape Optimization via Swarm Intelligence”. In: Proceedings of the 16th annual conference on Genetic and Evolutionary Computation (GECCO’2014). ACM Press, pp. 81–88. DOI: https://doi.org/10.1145/2576768.2598372.
  • S. Zapotecas Martínez and C. A. Coello Coello (2014). “A Multi-objective Evolutionary Algorithm based on Decomposition for Constrained Multi-objective Optimization”. In: 2014 IEEE Congress on Evolutionary Computation (CEC’2014). IEEE Press, pp. 429–436. DOI: https://doi.org/10.1109/CEC.2014.6900645.
  • S. Zapotecas Martínez, V. A. Sosa Hernández, H. E. Aguirre, K. Tanaka, and C. A. Coello Coello (2014). “Using a Family of Curves to Approximate the Pareto Front of a Multi-Objective Optimization Problem”. In: Parallel Problem Solving from Nature–PPSN XIII. Springer, pp. 682–691. DOI: https://doi.org/10.1007/978-3-319-10762-2_67.

2013

  • S. Zapotecas Martínez and C. A. Coello Coello (2013). “A Hybridization of MOEA/D with the Nonlinear Simplex Search Algorithm”. In: 2013 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM’2013). IEEE Press, pp. 48–55. DOI: https://doi.org/10.1109/MCDM.2013.6595443.
  • S. Zapotecas Martínez and C. A. Coello Coello (2013). “Combining Surrogate Models and Local Search for Dealing with Expensive Multi-objective Optimization Problems”. In: 2013 IEEE Congress on Evolutionary Computation (CEC’2013). IEEE Press, pp. 2572–2579. DOI: https://doi.org/10.1109/CEC.2013.6557879.
  • S. Zapotecas Martínez and C. A. Coello Coello (2013). “MOEA/D assisted by RBF Networks for Expensive Multi-Objective Optimization Problems”. In: Proceedings of the 15th annual conference on Genetic and Evolutionary Computation (GECCO’2013). ACM Press, pp. 1405–1412. DOI: https://doi.org/10.1145/2463372.2465805.

2012

  • S. Roy, S. Zapotecas Martínez, C. A. Coello Coello, and S. Sengupta (2012). “A Multi-Objective Evolutionary Approach for Linear Antenna Array Design and Synthesis”. In: 2012 IEEE Congress on Evolutionary Computation (CEC’2012). IEEE Press, pp. 3423–3430. DOI: https://doi.org/10.1109/CEC.2012.6252989.
  • S. Roy, S. Zapotecas Martínez, C. A. Coello Coello, and S. Sengupta (2012). “Adaptive IIR System Identification using JADE”. In: World Automation Congress 2012 (WAC’2012). IEEE Press, pp. 1–6. URL: https://ieeexplore.ieee.org/abstract/document/6320967.
  • S. Zapotecas Martínez and C. A. Coello Coello (2012). “A Direct Local Search Mechanism for Decomposition-based Multi-Objective Evolutionary Algorithms”. In: 2012 IEEE Congress on Evolutionary Computation (CEC’2012). IEEE Press, pp. 3431–3438. DOI: https://doi.org/10.1109/CEC.2012.6252990.

2011

  • S. Zapotecas Martínez, A. Arias Montaño, and C. A. Coello Coello (2011). “A Nonlinear Simplex Search Approach for Multi-Objective Optimization”. In: 2011 IEEE Congress on Evolutionary Computation (CEC’2011). IEEE Press, pp. 2367–2374. DOI: https://doi.org/10.1109/CEC.2011.5949910.
  • S. Zapotecas Martínez and C. A. Coello Coello (2011). “A Multi-objective Particle Swarm Optimizer Based on Decomposition”. In: Proceedings of the 13th annual conference on Genetic and Evolutionary Computation (GECCO’2011). ACM Press, pp. 69–76. DOI: https://doi.org/10.1145/2001576.2001587.
  • S. Zapotecas Martínez and C. A. Coello Coello (2011). “Swarm Intelligence Guided by Multi-objective Mathematical Programming Techniques”. In: GECCO (Companion). ACM Press, pp. 771–774. DOI: https://doi.org/10.1145/2001858.2002088.
  • S. Zapotecas Martínez, E. G. Yáñez Oropeza, and C. A. Coello Coello (2011). “Self-Adaptation Techniques Applied to Multi-Objective Evolutionary Algorithms”. In: Learning and Intelligent Optimization, 5th International Conference, LION 5. Springer, pp. 567–581. DOI: https://doi.org/10.1007/978-3-642-25566-3_44.

2010

  • S. Zapotecas Martínez and C. A. Coello Coello (2010). “A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-Model”. In: Parallel Problem Solving from Nature–PPSN XI. Springer, pp. 576–585. DOI: https://doi.org/10.1007/978-3-642-15844-5_58.
  • S. Zapotecas Martínez and C. A. Coello Coello (2010). “A Multi-Objective Meta-Model Assisted Memetic Algorithm with Non Gradient-Based Local Search”. In: GECCO (Companion). ACM Press, pp. 537–538. DOI: https://doi.org/10.1145/1830483.1830581.
  • S. Zapotecas Martínez and C. A. Coello Coello (2010). “A Novel Diversification Strategy for Multi-Objective Evolutionary Algorithms”. In: GECCO (Companion). ACM Press, pp. 2031–2034. DOI: https://doi.org/10.1145/1830761.1830852.
  • S. Zapotecas Martínez and C. A. Coello Coello (2010). “An Archiving Strategy Based on the Convex Hull of Individual Minima for MOEAs”. In: 2010 IEEE Congress on Evolutionary Computation (CEC’2010). IEEE Press, pp. 912–919. DOI: ttps://doi.org/10.1109/CEC.2010.5586462.

2008

  • S. Zapotecas Martínez and C. A. Coello Coello (2008). “A Proposal to Hybridize Multi-Objective Evolutionary Algorithms with Non-Gradient Mathematical Programming Techniques”. In: Parallel Problem Solving from Nature–PPSN X. Springer, pp. 837–846. DOI: https://doi.org/10.1007/978-3-540-87700-4_83.
  • S. Zapotecas Martínez and C. A. Coello Coello (2008). “Hybridizing an Evolutionary Algorithm with Mathematical Programming Techniques for Multi-Objective Optimization”. In: GECCO (Companion). ACM Press, pp. 769–770. DOI: https://doi.org/10.1145/1389095.1389247.

2006

  • S. Zapotecas-Martínez, C. Mancillas-López, F. Rodríguez-Henríquez, and N. Cruz-Cortés (2006). “Reconfigurable Hardware Implementation of the Lenstra Factorization Algorithm”. In: 2006 3rd International Conference on Electrical and Electronics Engineering (ICEEE’2006). IEEE Press, pp. 1–4. DOI: https://doi.org/10.1109/ICEEE.2006.251939.