Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations. - Daniel Molina; Javier Poyatos; Javier Del Ser; Salvador García 001; Amir Hussain 001; Francisco Herrera (Cogn. Comput., 2020)

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations. - Daniel Molina; Javier Poyatos; Javier Del Ser; Salvador García 001; Amir Hussain 001; Francisco Herrera (CoRR, 2020)

More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems. - Javier Del Ser; Eneko Osaba; Aritz D. Martinez; Miren Nekane Bilbao; Javier Poyatos; Daniel Molina; Francisco Herrera (SSCI, 2021)

Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. - Aritz D. Martinez; Javier Del Ser; Esther Villar-Rodriguez; Eneko Osaba; Javier Poyatos; Siham Tabik; Daniel Molina; Francisco Herrera (Inf. Fusion, 2021)

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms. - Antonio LaTorre; Daniel Molina; Eneko Osaba; Javier Poyatos; Javier Del Ser; Francisco Herrera (Swarm Evol. Comput., 2021)

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications. - Isaac Triguero; Daniel Molina; Javier Poyatos; Javier Del Ser; Francisco Herrera (CoRR, 2023)

EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks. - Javier Poyatos; Daniel Molina; Aritz D. Martinez; Javier Del Ser; Francisco Herrera (Neural Networks, 2023)

Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness. - Javier Poyatos; Daniel Molina; Aitor Martínez-Seras; Javier Del Ser; Francisco Herrera (Appl. Soft Comput., 2023)

Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. - Javier Poyatos; Javier Del Ser; Salvador García 001; Hisao Ishibuchi; Daniel Molina; Isaac Triguero; Bing Xue 001; Xin Yao 001; Francisco Herrera (CoRR, 2024)

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance. - Isaac Triguero; Daniel Molina; Javier Poyatos; Javier Del Ser; Francisco Herrera (Inf. Fusion, 2024)

The paradox of success in evolutionary and bioinspired optimization: Revisiting critical issues, key studies, and methodological pathways. - Daniel Molina; Javier Del Ser; Javier Poyatos; Francisco Herrera (Swarm Evol. Comput., 2025)