PAVEL
NOVOA HERNÁNDEZ
Investigador en el periodo 2023-2024
DAVID ALEJANDRO
PELTA MOCHCOVSKY
CATEDRÁTICO DE UNIVERSIDAD
Publicaciones en las que colabora con DAVID ALEJANDRO PELTA MOCHCOVSKY (16)
2024
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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)
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Can Magnetic Dipole Transition Moment Be Engineered?
Angewandte Chemie - International Edition, Vol. 63, Núm. 4
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Contextual analysis of solutions in a tourist trip design problem: A fuzzy logic-based approach
Applied Soft Computing, Vol. 154
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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
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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)
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Robust Optimization over Time Problems—Characterization and Literature Review
Electronics (Switzerland), Vol. 12, Núm. 22
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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)
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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
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Approximation Models in Robust Optimization over Time - An Experimental Study
2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings
2016
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Self-adaptation in dynamic environments - A survey and open issues
International Journal of Bio-Inspired Computation, Vol. 8, Núm. 1, pp. 1-13
2013
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Self-adaptive, multipopulation differential evolution in dynamic environments
Soft Computing, Vol. 17, Núm. 10, pp. 1861-1881
2011
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Efficient multi-swarm PSO algorithms for dynamic environments
Memetic Computing, Vol. 3, Núm. 3, pp. 163-174
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Sensitivity analysis in the scenario method: A multi-objective approach
International Conference on Intelligent Systems Design and Applications, ISDA
2010
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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)
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Improvement strategies for multi-swarm PSO in dynamic environments
Studies in Computational Intelligence
2009
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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)