Decomposition and adaptive weight adjustment method with biogeography/complex algorithm for many-objective optimization

In the EMO (evolutionary multi-objective, EMO) algorithm, MaOPs (many objective optimization problems, MaOPs) are sometimes difficult to keep the balance of convergence and diversity. The decomposition based EMO developed for MaOPs has been proved to be effective, and BBO/Complex (the biogeography b...

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Detalles Bibliográficos
Autores principales: Chen, Wang, Guohua, Zhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546505/
https://www.ncbi.nlm.nih.gov/pubmed/33035263
http://dx.doi.org/10.1371/journal.pone.0240131

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7546505/
https://www.ncbi.nlm.nih.gov/pubmed/33035263
http://dx.doi.org/10.1371/journal.pone.0240131

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