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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

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