A Dual-Population-Based NSGA-III for Constrained Many-Objective Optimization

The main challenge for constrained many-objective optimization problems (CMaOPs) is how to achieve a balance between feasible and infeasible solutions. Most of the existing constrained many-objective evolutionary algorithms (CMaOEAs) are feasibility-driven, neglecting the maintenance of population c...

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Detalles Bibliográficos
Autores principales: Geng, Huantong, Zhou, Zhengli, Shen, Junye, Song, Feifei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858107/
https://www.ncbi.nlm.nih.gov/pubmed/36673153
http://dx.doi.org/10.3390/e25010013

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858107/
https://www.ncbi.nlm.nih.gov/pubmed/36673153
http://dx.doi.org/10.3390/e25010013

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