A double association-based evolutionary algorithm for many-objective optimization

A double association-based evolutionary algorithm for many-objective optimization

In this paper, a double association-based evolutionary algorithm (denoted as DAEA) is proposed to solve many-objective optimization problems. In the proposed DAEA, a double association strategy is designed to associate solutions with each subspace. Different from the existing association methods, th...

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Bibliographic Details
Main Authors: Junhua Liu, Wei Zhang, Mengnan Tian, Hong Ji, Baobao Liu
Format: Article
Language:English
Published: AIMS Press 2023-09-01
Series:Mathematical Biosciences and Engineering
Subjects:
many-objective optimization
double association
quality evaluation
convergence
diversity
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023771?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023771?viewType=HTML

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