A hypervolume fraction-based adaptive evolutionary algorithm for many-objective optimization and the application to electromagnetic device design-Reference-Cited by-同舟云学术

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A hypervolume fraction-based adaptive evolutionary algorithm for many-objective optimization and the application to electromagnetic device design

Published:2024-11 Issue: Volume:137 Page:109060
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Lin Jie^ORCID,Zhang Sheng Xin^ORCID,Xu Yi Jiao,Zheng Shao Yong^ORCID

Publisher

Elsevier BV

Reference42 articles.

1. JCLEC-MO: a Java suite for solving many-objective optimization engineering problems;Aurora;Eng. Appl. Artif. Intell.,2019

2. HypE: an algorithm for fast hypervolume-based many-objective optimization;Bader;Evol. Comput.,2011

3. SMS-EMOA: multiobjective selection based on dominated hypervolume;Beume;Eur. J. Oper. Res.,2007

4. A many-objective optimization model of industrial internet of things based on private blockchain;Cao;IEEE Network,2020

5. A reference vector guided evolutionary algorithm for many-objective optimization;Cheng;IEEE Trans. Evol. Comput.,2016

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