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Information-Geometric Optimization with Natural Selection
Evolutionary algorithms, inspired by natural evolution, aim to optimize difficult objective functions without computing derivatives. Here we detail the relationship between classical population genetics of quantitative traits and evolutionary optimization, and formulate a new evolutionary algorithm....
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| Publicado no: | Entropy (Basel) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7597266/ https://ncbi.nlm.nih.gov/pubmed/33286736 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22090967 |
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