Multi-population genetic algorithm with ER network for solving flexible job shop scheduling problems

A genetic algorithm (GA) cannot always avoid premature convergence, and multi-population is usually used to overcome this limitation by dividing the population into several sub-populations (sub-population number) with the same number of individuals (sub-population size). In previous research, the qu...

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Detalles Bibliográficos
Autores principales: Shi, Xiaoqiu, Long, Wei, Li, Yanyan, Deng, Dingshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259647/
https://www.ncbi.nlm.nih.gov/pubmed/32470077
http://dx.doi.org/10.1371/journal.pone.0233759

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259647/
https://www.ncbi.nlm.nih.gov/pubmed/32470077
http://dx.doi.org/10.1371/journal.pone.0233759

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