TY  - GEN 
AU  - Molina Cabrera, Daniel
AU  - Del Ser Lorente, Javier
AU  - Poyatos Amador, Javier
AU  - Herrera, Francisco
PY  - 2025
UR  - https://hdl.handle.net/10481/105944
AB  - Evolutionary and bioinspired computation are crucial for efficiently addressing complex optimization problems across diverse application domains. By mimicking processes observed in nature, like evolution itself, these algorithms offer innovative...
LA  - eng
KW  - Bioinspired Computation
KW  - Evolutionary Computation
KW  - Metaheuristics
KW  - Methodological critique
KW  - Benchmarking
KW  - Innovation
TI  - The paradox of success in evolutionary and bioinspired optimization: Revisiting critical issues, key studies, and methodological pathways
DO  - 10.1016/j.swevo.2025.102063
ER  -