A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization-Reference-Cited by-同舟云学术

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A novel clustering-based evolutionary algorithm with objective space decomposition for multi/many-objective optimization

Published:2024-08 Issue: Volume:677 Page:120940
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zheng Wei^ORCID,Tan Yanyan^ORCID,Yan Zeyuan,Yang Mingming

Publisher

Elsevier BV

Reference49 articles.

1. Graph neural network encoding for community detection in attribute networks;Sun;IEEE Trans. Cybern.,2022

2. Continuous encoding for overlapping community detection in attributed network;Zheng;IEEE Trans. Cybern.,2023

3. A fast and elitist multiobjective genetic algorithm: NSGA-II;Deb;IEEE Trans. Evol. Comput.,2002

4. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints;Deb;IEEE Trans. Evol. Comput.,2014

5. A new decomposition-based NSGA-II for many-objective optimization;Elarbi;IEEE Trans. Syst. Man Cybern. Syst.,2018

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1. An ensemble dual model assisted MOEA/D for tackling medium scale expensive multiobjective optimization;Information Sciences;2024-09

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