Del Ser, JavierOsaba, EnekoMartinez, Aritz D.Bilbao, Miren NekanePoyatos, JavierMolina, DanielHerrera, Francisco2024-07-242024-07-242021Del Ser , J , Osaba , E , Martinez , A D , Bilbao , M N , Poyatos , J , Molina , D & Herrera , F 2021 , More is not Always Better : Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems . in 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings . 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 - Proceedings , Institute of Electrical and Electronics Engineers Inc. , 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 , Orlando , United States , 5/12/21 . https://doi.org/10.1109/SSCI50451.2021.9660030conference9781728190488https://hdl.handle.net/11556/2172Publisher Copyright: © 2021 IEEE.Much controversy has been lately risen around the design and performance of modern bio-inspired optimization methods, in particular due to the alleged lack of algorithmic novelty in their definition with respect to traditional heuristic solvers. In this work we present a first attempt at shedding empirical evidence over this debate, for which results of a benchmark with unprecedented scales in terms of problems and algorithms are reported and discussed. Specifically, informed conclusions are held in what refers to the claimed superior performance of these bio-inspired solvers and their competitiveness when compared to competition-winning alternatives. Finally, we prove that the tailored selection of a subset of problems and techniques can unfairly bias the comparisons favoring any of such algorithms, ultimately arriving at illusory conclusions about their comparative performance.enginfo:eu-repo/semantics/restrictedAccessconference output10.1109/SSCI50451.2021.9660030BenchmarkingMeta-heuristic OptimizationReal-Parameter OptimizationArtificial IntelligenceComputer Science ApplicationsDecision Sciences (miscellaneous)Safety, Risk, Reliability and QualityControl and Optimizationhttp://www.scopus.com/inward/record.url?scp=85125804403&partnerID=8YFLogxK