Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization-Reference-Cited by-同舟云学术

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Enhancing Diversity by Local Subset Selection in Evolutionary Multiobjective Optimization

Published:2022 Issue: Volume: Page:1-1
ISSN:1089-778X
Container-title:IEEE Transactions on Evolutionary Computation
language:
Short-container-title:IEEE Trans. Evol. Computat.

Author:

Wang Zihan¹^ORCID,Mao Bochao¹,Hao Hao¹^ORCID,Hong Wenjing²^ORCID,Xiao Chunyun¹,Zhou Aimin¹^ORCID

Affiliation:

1. Shanghai Institute of AI for Education, and the School of Computer Science and Technology, East China Normal University, Shanghai, China

2. Department of Computer Science and Engineering, Guangdong Key Laboratory of Brain-Inspired Intelligent Computation, Southern University of Science and Technology, Shenzhen, China

Funder

Science and Technology Commission of Shanghai Municipality

Scientific and Technological Innovation 2030 Major Projects

National Natural Science Foundation of China

The Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://xplorestaging.ieee.org/ielx7/4235/4358751/09843885.pdf?arnumber=9843885

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. RBSS: A fast subset selection strategy for multi-objective optimization;Swarm and Evolutionary Computation;2024-10

2. A multi-objective particle swarm optimization with a competitive hybrid learning strategy;Complex & Intelligent Systems;2024-05-16

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