Acceleration of Global Optimization Algorithm by Detecting Local Extrema Based on Machine Learning

This paper features the study of global optimization problems and numerical methods of their solution. Such problems are computationally expensive since the objective function can be multi-extremal, nondifferentiable, and, as a rule, given in the form of a “black box”. This study used a deterministi...

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Detalles Bibliográficos
Autores principales: Barkalov, Konstantin, Lebedev, Ilya, Kozinov, Evgeny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534649/
https://www.ncbi.nlm.nih.gov/pubmed/34681996
http://dx.doi.org/10.3390/e23101272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534649/
https://www.ncbi.nlm.nih.gov/pubmed/34681996
http://dx.doi.org/10.3390/e23101272

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