A Many-Objective Evolutionary Algorithm Based on Dual Selection Strategy

In high-dimensional space, most multi-objective optimization algorithms encounter difficulties in solving many-objective optimization problems because they cannot balance convergence and diversity. As the number of objectives increases, the non-dominated solutions become difficult to distinguish whi...

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Detalles Bibliográficos
Autores principales: Peng, Cheng, Dai, Cai, Xue, Xingsi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378021/
https://www.ncbi.nlm.nih.gov/pubmed/37509962
http://dx.doi.org/10.3390/e25071015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378021/
https://www.ncbi.nlm.nih.gov/pubmed/37509962
http://dx.doi.org/10.3390/e25071015

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