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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...
Autores principales: | Chen, Wang, Guohua, Zhao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
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 |
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