An activity level based surrogate-assisted evolutionary algorithm for many-objective optimization-Reference-Cited by-同舟云学术

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An activity level based surrogate-assisted evolutionary algorithm for many-objective optimization

Published:2024-10 Issue: Volume:164 Page:111967
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Pan Jeng-Shyang^ORCID,Zhang An-Ning,Chu Shu-Chuan^ORCID,Zhao Jia,Snášel Václav^ORCID

Publisher

Elsevier BV

Reference64 articles.

1. Surrogate-assisted multi-objective optimization via knee-oriented Pareto front estimation;Tang;Swarm Evol. Comput.,2023

2. Multi-objective interval portfolio optimization modeling and solving for margin trading;He;Swarm Evol. Comput.,2022

3. Surrogate-assisted phasmatodea population evolution algorithm applied to wireless sensor networks;Liang;Wirel. Netw.,2023

4. A competitive mechanism based multi-objective differential evolution algorithm and its application in feature selection;Pan;Knowl.-Based Syst.,2022

5. Shift-based density estimation for Pareto-based algorithms in many-objective optimization;Li;IEEE Trans. Evol. Comput.,2013

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