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A penalty-based algorithm proposal for engineering optimization problems

This paper presents a population-based evolutionary computation model for solving continuous constrained nonlinear optimization problems. The primary goal is achieving better solutions in a specific problem type, regardless of metaphors and similarities. The proposed algorithm assumes that candidate...

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Detalles Bibliográficos
Autores principales: Oztas, Gulin Zeynep, Erdem, Sabri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735093/
https://www.ncbi.nlm.nih.gov/pubmed/36532880
http://dx.doi.org/10.1007/s00521-022-08058-8

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