A large-scale multi-objective evolutionary algorithm based on importance rankings and information feedback-Reference-Cited by-同舟云学术

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A large-scale multi-objective evolutionary algorithm based on importance rankings and information feedback

Published:2023-06-08 Issue:12 Volume:56 Page:14803-14840
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Cao Jie,Guo Kaiyue,Zhang Jianlin,Chen Zuohan

Funder

National Key Research and Development Plan

Key Research and Development Program of Gansu Province

Science Foundation for Youths of Gansu Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

https://link.springer.com/content/pdf/10.1007/s10462-023-10522-3.pdf

Reference58 articles.

1. Alcalá-Fdez J, Sánchez L, Garcia S, del Jesus MJ, Ventura S, Garrell JM, Otero J, Romero C, Bacardit J, Rivas VM (2009) KEEL: a software tool to assess evolutionary algorithms for data mining problems. Soft Comput 13:307–318. https://doi.org/10.1007/s00500-008-0323-y

2. Antonio LM, Coello CAC (2013) Use of cooperative coevolution for solving large scale multiobjective optimization problems. 2013 IEEE congress on evolutionary computation. IEEE, 2758–2765. https://doi.org/10.1109/cec.2013.6557903〹

3. Cao B, Zhao J, Gu Y, Ling Y, Ma X (2020) Applying graph-based differential grouping for multiobjective large-scale optimization. Swarm Evol Comput 53:100626. https://doi.org/10.1016/j.swevo.2019.100626

4. Cao J, Zhang J, Zhao F, Chen Z (2021) A two-stage evolutionary strategy based MOEA/D to multi-objective problems. Expert Syst Appl 185:115654. https://doi.org/10.1016/j.eswa.2021.115654

5. Cao J, Guo K, Zhang J, Chen Z (2023) A dual-stage large-scale multi-objective evolutionary algorithm with dynamic learning strategy. Expert Syst Appl 226:120184. https://doi.org/10.1016/j.eswa.2023.120184

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