A particle swarm optimization algorithm based on an improved deb criterion for constrained optimization problems

To solve the nonlinear constrained optimization problem, a particle swarm optimization algorithm based on the improved Deb criterion (CPSO) is proposed. Based on the Deb criterion, the algorithm retains the information of ‘excellent’ infeasible solutions. The algorithm uses this information to escap...

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Detalles Bibliográficos
Autores principales: Sun, Ying, Shi, Wanyuan, Gao, Yuelin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Algorithms and Analysis of Algorithms
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280275/
https://www.ncbi.nlm.nih.gov/pubmed/37346308
http://dx.doi.org/10.7717/peerj-cs.1178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280275/
https://www.ncbi.nlm.nih.gov/pubmed/37346308
http://dx.doi.org/10.7717/peerj-cs.1178

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