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More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems.

, , , , , , and . SSCI, page 1-7. IEEE, (2021)

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Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects., , , , , , , , and . CoRR, (2024)EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks., , , , and . Neural Networks, (January 2023)More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems., , , , , , and . SSCI, page 1-7. IEEE, (2021)Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations., , , , , and . CoRR, (2020)Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations., , , , , and . Cogn. Comput., 12 (5): 897-939 (2020)General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance., , , , and . Inf. Fusion, (March 2024)A prescription of methodological guidelines for comparing bio-inspired optimization algorithms., , , , , and . Swarm Evol. Comput., (2021)Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness., , , , and . Appl. Soft Comput., (November 2023)Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges., , , , , , , and . Inf. Fusion, (2021)