A dual-population coevolutionary algorithm for balancing convergence and diversity in the decision space in multimodal multi-objective optimization-Reference-Cited by-同舟云学术

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A dual-population coevolutionary algorithm for balancing convergence and diversity in the decision space in multimodal multi-objective optimization

Published:2024-09 Issue: Volume:162 Page:111770
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Li Zhipan^ORCID,Rong Huigui,Yang Shengxiang^ORCID,Yang Xu^ORCID,Huang Yupeng

Publisher

Elsevier BV

Reference53 articles.

1. Evolutionary multiobjective blocking lot-streaming flow shop scheduling with machine breakdowns;Han;IEEE Trans. Cybern.,2017

2. Multi-objective optimization for the reliable pollution-routing problem with cross-dock selection using Pareto-based algorithms;Tirkolaee;J. Clean. Prod.,2020

3. On the performance of multiple-objective genetic local search on the 0/1 knapsack problem-a comparative experiment;Jaszkiewicz;IEEE Trans. Evol. Comput.,2002

4. Multi-Objective Optimization Using Evolutionary Algorithms;Deb,2001

5. Multi-objective genetic algorithms: Problem difficulties and construction of test problems;Deb;Evol. Comput.,1999

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