A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms

Multi-modal multi-objective optimization is to locate (almost) equivalent Pareto optimal solutions as many as possible. While decomposition-based evolutionary algorithms have good performance for multi-objective optimization, they are likely to perform poorly for multi-modal multi-objective optimiza...

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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Tanabe, Ryoji, Ishibuchi, Hisao
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 30.09.2020
Subjects:	Decomposition Equivalence Evolutionary algorithms Genetic algorithms Multiple objective analysis Optimization Pareto optimization Pareto optimum Performance enhancement Solution space
ISSN:	2331-8422
Online Access:	Get full text
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