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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Detalles Bibliográficos
Autores principales: Li, YongLi, Feng, JinFu, Hu, JunHua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960076/
https://www.ncbi.nlm.nih.gov/pubmed/27512635
http://dx.doi.org/10.1186/s40064-016-2838-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960076/
https://www.ncbi.nlm.nih.gov/pubmed/27512635
http://dx.doi.org/10.1186/s40064-016-2838-5

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