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Covariance and crossover matrix guided differential evolution for global numerical optimization

Differential evolution (DE) is an efficient and robust evolutionary algorithm and has wide application in various science and engineering fields. DE is sensitive to the selection of mutation and crossover strategies and their associated control parameters. However, the structure and implementation o...

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Detalhes bibliográficos
Publicado no:Springerplus
Main Authors: Li, YongLi, Feng, JinFu, Hu, JunHua
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4960076/
https://ncbi.nlm.nih.gov/pubmed/27512635
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40064-016-2838-5
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