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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...
Tallennettuna:
| Julkaisussa: | Springerplus |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Springer International Publishing
2016
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| Aiheet: | |
| Linkit: | 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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