A New Decomposition-Based Many-Objective Algorithm Based on Adaptive Reference Vectors and Fractional Dominance Relation

Decomposition-based evolutionary multi-objective algorithms (MOEAs) and many-objective algorithms (MaOEAs) divide a multi-objective problem (MOP) or a many-objective problem (MaOP) into several subproblems by using a set of predefined uniformly distributed reference vectors and can achieve good over...

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Detalles Bibliográficos
Autor principal:	Xiaojun Zhang
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Reference vector decomposition-based MaOEA adaptive reference-vector adjustment strategy Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/7b8d933d6f0f4b2ab88488316d0e874e
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A New Decomposition-Based Many-Objective Algorithm Based on Adaptive Reference Vectors and Fractional Dominance Relation

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