Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems-Reference-Cited by-同舟云学术

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Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems

Published:2024-04 Issue: Volume:86 Page:101516
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Horaguchi Yuma^ORCID,Nishihara Kei^ORCID,Nakata Masaya^ORCID

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Reference89 articles.

1. Evolutionary multi-objective optimization: a historical view of the field;Coello Coello;IEEE Comput. Intell. Mag.,2006

2. Multiobjective evolutionary algorithms: A survey of the state of the art;Zhou;Swarm Evol. Comput.,2011

3. A survey of multiobjective evolutionary algorithms based on decomposition;Trivedi;IEEE Trans. Evol. Comput.,2016

4. A survey of multiobjective evolutionary algorithms based on decomposition: Variants, challenges and future directions;Xu;IEEE Access,2020

5. Proposal of benchmark problem based on real-world car structure design optimization;Kohira,2018

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. A Dual Surrogate-Based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems;2024 IEEE Congress on Evolutionary Computation (CEC);2024-06-30

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