Decomposition-Based Multi-Objective Evolutionary Algorithm Design Under Two Algorithm Frameworks

The development of efficient and effective evolutionary multi-objective optimization (EMO) algorithms has been an active research topic in the evolutionary computation community. Over the years, many EMO algorithms have been proposed. The existing EMO algorithms are mainly developed based on the fin...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Lie Meng Pang, Hisao Ishibuchi, Ke Shang
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	Evolutionary multi-objective optimization MOEA/D final population framework solution selection framework hyper-heuristics
Online Access:	https://ieeexplore.ieee.org/document/9187243/