Publikationen, an denen er mitarbeitet David Alejandro Pelta Mochcovsky (18)

2024

  1. A Surrogate Assisted Approach for Fitness Computation in Robust Optimization over Time

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Can Magnetic Dipole Transition Moment Be Engineered?

    Angewandte Chemie - International Edition, Vol. 63, Núm. 4

  3. Contextual analysis of solutions in a tourist trip design problem: A fuzzy logic-based approach

    Applied Soft Computing, Vol. 154

  4. FuSDG: A Proposal for a Fuzzy Assessment of Sustainable Development Goals Achievement

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2023

  1. Exact and Heuristic Lexicographic Methods for the Fuzzy Traveling Salesman Problem

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Robust Optimization over Time Problems—Characterization and Literature Review

    Electronics (Switzerland), Vol. 12, Núm. 22

  3. Towards Imprecise Scores in Multi-criteria Decision Making with Ranked Weights

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Un enfoque multicriterio de ponderación flexible para la evaluación académica de estudiantes universitarios

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 8, pp. 343-349

2018

  1. Approximation Models in Robust Optimization over Time - An Experimental Study

    2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings

2016

  1. Self-adaptation in dynamic environments - A survey and open issues

    International Journal of Bio-Inspired Computation, Vol. 8, Núm. 1, pp. 1-13

2013

  1. Self-adaptive, multipopulation differential evolution in dynamic environments

    Soft Computing, Vol. 17, Núm. 10, pp. 1861-1881

2011

  1. Efficient multi-swarm PSO algorithms for dynamic environments

    Memetic Computing, Vol. 3, Núm. 3, pp. 163-174

  2. Sensitivity analysis in the scenario method: A multi-objective approach

    International Conference on Intelligent Systems Design and Applications, ISDA

  3. Special issue on nature inspired cooperative strategies for optimization

    Memetic Computing

2010

  1. An analysis of particle properties on a multi-swarm PSO for dynamic optimization problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Improvement strategies for multi-swarm PSO in dynamic environments

    Studies in Computational Intelligence

2009

  1. Controlling particle trajectories in a multi-swarm approach for dynamic optimization problems

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2008

  1. A simple and fast heuristic for protein structure comparison

    BMC Bioinformatics, Vol. 9