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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...
Autores principales: | Oztas, Gulin Zeynep, Erdem, Sabri |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
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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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