A New Hyper-Heuristic Multi-Objective Optimisation Approach Based on MOEA/D Framework

A multi-objective evolutionary algorithm based on decomposition (MOEA/D) serves as a robust framework for addressing multi-objective optimization problems (MOPs). However, it is widely recognized that the applicability of a fixed offspring-generating strategy in MOEA/D can be limited, despite its fo...

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Bibliographic Details

Published in:	Biomimetics
Main Authors:	Jiayi Han, Shinya Watanabe
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Subjects:	evolutionary multi-objective optimization (EMO) MOEA/D hyper-heuristic approach CMA-ES IDE operator switching mechanism
Online Access:	https://www.mdpi.com/2313-7673/8/7/521