A distance and cosine similarity-based fitness evaluation mechanism for large-scale many-objective optimization-Reference-Cited by-同舟云学术

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A distance and cosine similarity-based fitness evaluation mechanism for large-scale many-objective optimization

Published:2024-07 Issue: Volume:133 Page:108127
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Gao Cong,Li Wenfeng^ORCID,He Lijun,Zhong Lingchong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference53 articles.

1. HypE: An algorithm for fast hypervolume-based many-objective optimization;Bader;Evol. Comput.,2011

2. SMS-EMOA: Multiobjective selection based on dominated hypervolume;Beume;European J. Oper. Res.,2007

3. Test problems for large-scale multiobjective and many-objective optimization;Cheng;IEEE Trans. Cybern.,2016

4. A study of the parallelization of a coevolutionary multi-objective evolutionary algorithm;Coello Coello,2004

5. Multiobjective Optimization: Principles and Case Studies;Collette,2004

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