Surrogate-assisted operator-repeated evolutionary algorithm for computationally expensive multi-objective problems-Reference-Cited by-同舟云学术

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Surrogate-assisted operator-repeated evolutionary algorithm for computationally expensive multi-objective problems

Published:2023-11 Issue: Volume:147 Page:110785
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Cai Xiwen^ORCID,Zou Tao,Gao Liang^ORCID

Publisher

Elsevier BV

Subject

Software

Reference62 articles.

1. Multi-Objective Optimization using Evolutionary Algorithms;Deb,2001

2. Current trends in evolutionary multi-objective optimization;Deb;Int. J. Simul. Multi. Des. Optim.,2007

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

4. MOEA/D: A multiobjective evolutionary algorithm based on decomposition;Zhang;IEEE Trans. Evol. Comput.,2007

5. A decomposition based multi-objective heat transfer search algorithm for structure optimization;Kumar;Knowl.-Based Syst.,2022

Cited by 1 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. Dual model surrogate-assist evolutionary algorithm for expensive multi-objective optimisation;International Journal of Bio-Inspired Computation;2024

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