A Competitive Co-Evolutionary Approach for the Multi-Objective Evolutionary Algorithms

Volume: 8, Pages: 56927 - 56947
Published: Jan 1, 2020
Abstract
In multi-objective evolutionary algorithms (MOEAs), convergence and diversity are two basic issues and keeping a balance between them plays a vital role. There are several studies that have attempted to address this problem, but this is still an open challenge. It is thus the purpose of this research to develop a dual-population competitive co-evolutionary approach to improving the balance between convergence and diversity. We utilize two...
Paper Details
Title
A Competitive Co-Evolutionary Approach for the Multi-Objective Evolutionary Algorithms
Published Date
Jan 1, 2020
Volume
8
Pages
56927 - 56947
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