Peer-reviewed Journal Papers

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Peer-reviewed Journal Papers

2024

  • L. A. Beltran, M. A. Navarro, D. Oliva, D. Campos-Peña, J. A. Ramos-Frutos, and S. Zapotecas-Martínez (2024). “Quasirandom Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization”. Expert Systems with Applications, VOL. 254, pp. 124400. ISSN: 0957-4174. DOI: https://doi.org/10.1016/j.eswa.2024.124400.
  • I. Miguel-Andrés, J. Ramos-Frutos, M. Sharawi, D. Oliva, E. Reyes-Dávila, A. Casas-Ordaz, M. Pérez-Cisneros, and S. Zapotecas-Martínez (2024). “Wrapper-based feature selection to classify flatfoot disease”. IEEE Access, VOL. 12, pp. 22433–22447. ISSN: 2169-3536. DOI: https://doi.org/10.1109/ACCESS.2024.3361936.
  • S. Zapotecas-Martínez, R. Armas, and A. García-Nájera (2024). “A multi-objective evolutionary approach for the electric vehicle charging stations problem”. Expert Systems with Applications, VOL. 240, pp. 122514. ISSN: 0957-4174. DOI: https://doi.org/10.1016/j.eswa.2023.122514.

2023

  • S. Zapotecas-Martínez, A. García-Nájera, and A. Menchaca-Méndez (2023). “Engineering applications of multi-objective evolutionary algorithms: A test suite of box-constrained real-world problems”. Engineering Applications of Artificial Intelligence, VOL. 123, pp. 106192. ISSN: 0952-1976. DOI: https://doi.org/10.1016/j.engappai.2023.106192.
  • S. Zapotecas-Martínez, C. A. Coello Coello, H. E. Aguirre, and K. Tanaka (2023). “Challenging test problems for multi- and many-objective optimization”. Swarm and Evolutionary Computation, VOL. 81, pp. 101350. ISSN: 2210-6502. DOI: https://doi.org/10.1016/j.swevo.2023.101350.

2022

  • A. Menchaca-Méndez, S. Zapotecas-Martínez, L. M. García-Velázquez, and C. A. Coello Coello (2022). “Uniform Mixture Design via Evolutionary Multi-Objective Optimization”. Swarm and Evolutionary Computation, VOL. 68, pp. 100979. ISSN: 2210-6502. DOI: https://doi.org/10.1016/j.swevo.2021.100979.
  • S. Zapotecas-Martínez, A. García-Nájera, and A. Menchaca-Méndez (2022). “Improved Lebesgue Indicator-Based Evolutionary Algorithm: Reducing Hypervolume Computations”. Mathematics, VOL. 10, NUM. 1, pp. 19. ISSN: 2227–7390. DOI: https://doi.org/10.3390/math10010019.

2021

  • V. Escandon-Bailon, H. Cervantes, A. García-Nájera, and S. Zapotecas-Martínez (2021). “Analysis of the multi-objective release plan rescheduling problem”. Knowledge-Based Systems, pp. 106922. ISSN: 0950-7051. DOI: https://doi.org/10.1016/j.knosys.2021.106922.
  • A. García-Nájera, S. Zapotecas-Martínez, and K. Miranda (2021). “Analysis of the multi-objective cluster head selection problem in WSNs”. Applied Soft Computing, pp. 107853. ISSN: 1568-4946. DOI: https://doi.org/10.1016/j.asoc.2021.107853.

2020

  • O. Cuate, A. Ponsich, L. Uribe, S. Zapotecas-Martínez, A. Lara, and O. Schütze (2020). “A New Hybrid Evolutionary Algorithm for the Treatment of Equality Constrained MOPs”. Mathematics, VOL. 1, NUM. 8, pp. 7. ISSN: 2227–7390. DOI: https://doi.org/10.3390/math8010007.

2019

  • A. Menchaca-Méndez, E. Montero, L. Miguel, S. Zapotecas-Martínez, C. A. Coello Coello, and M.-C. Riff (2019). “A Coevolutionary Scheme for Multi-Objective Evolutionary Algorithms based on -dominance”. IEEE Access, VOL. 7, pp. 18267–18283. ISSN: 2169-3536. DOI: https://doi.org/10.1109/ACCESS.2019.2896962.
  • S. Zapotecas-Martínez, C. A. Coello Coello, H. E. Aguirre, and K. Tanaka (2019). “A Review of Features and Limitations of Existing Scalable Multiobjective Test Suites”. IEEE Transactions on Evolutionary Computation, VOL. 23, NUM. 1, pp. 130–142. ISSN: 1089-778X. DOI: https://doi.org/10.1109/TEVC.2018.2836912.
  • S. Zapotecas-Martínez, A. García-Nájera, and A. López-Jaimes (2019). “LIBEA: A Lebesgue Indicator-Based Evolutionary Algorithm for multi-objective optimization”. Swarm and Evolutionary Computation, VOL. 44, pp. 404–419. ISSN: 2210-6502. DOI: https://doi.org/10.1016/j.swevo.2018.05.004.
  • S. Zapotecas-Martínez, A. García-Nájera, and A. López-Jaimes (2019). “Multi-objective grey wolf optimizer based on decomposition”. Expert Systems with Applications, VOL. 120, pp. 357–371. ISSN: 0957-4174. DOI: https://doi.org/10.1016/j.eswa.2018.12.003.

2018

  • S. Alvarado, C. Segura, O. Schütze, and S. Zapotecas (2018). “The Gradient Subspace Approximation as Local Search Engine within Evolutionary Multi-objective Optimization Algorithms”. Computación y Sistemas, VOL. 22, NUM. 2, pp. 363–385. ISSN: 2007-9737. https://doi.org/10.13053/CyS-22-2-2948.
  • A. Menchaca-Méndez, E. Montero, and S. Zapotecas-Martínez (2018). “An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm with Adaptive Resource Allocation”. IEEE Access, VOL. 6, pp. 63382–63401. ISSN: 2169-3536. DOI: https://doi.org/10.1109/ACCESS.2018.2877402.

2016

  • S. Zapotecas-Martínez and C. A. Coello Coello (2016). “MONSS: A multi-objective nonlinear simplex search approach”. Engineering Optimization, VOL. 48, NUM. 1, pp. 16–38. ISSN: 0305-215X. DOI: https://doi.org/10.1080/0305215X.2014.992889.