A many-objective evolutionary algorithm combining simplified hypervolume and a method for reference point sampling based on angular relationship-Reference-Cited by-同舟云学术

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A many-objective evolutionary algorithm combining simplified hypervolume and a method for reference point sampling based on angular relationship

Published:2024-09 Issue: Volume:163 Page:111881
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chao Tao^ORCID,Wang Shuai^ORCID,Wang Songyan,Yang Ming^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference47 articles.

1. Many-objective optimization: An engineering design perspective;Fleming,2005

2. A fast and elitist multiobjective genetic algorithm: NSGA-II;Deb;IEEE Trans. Evol. Comput.,2002

3. Eckart Zitzler, Marco Laumanns, Lothar Thiele, SPEA2: Improving the Strength Pareto Evolutionary Algorithm, Technical Report Gloriastrasse, 2001.

4. The Pareto archived evolution strategy: A new baseline algorithm for Pareto multiobjective optimisation;Knowles,1999

5. A strength pareto evolutionary algorithm based on reference direction for multi-objective and many-objective optimization;Jiang;IEEE Trans. Evol. Comput.,2017

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