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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Detalles Bibliográficos
Autores principales: Otwinowski, Jakub, LaMont, Colin H., Nourmohammad, Armita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597266/
https://www.ncbi.nlm.nih.gov/pubmed/33286736
http://dx.doi.org/10.3390/e22090967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597266/
https://www.ncbi.nlm.nih.gov/pubmed/33286736
http://dx.doi.org/10.3390/e22090967

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