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A multitype constraint handling evolutionary algorithm for constrained multiobjective optimization problems

delete2026-02-02
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PRE
AI
H
Honghua Rao
H
Heming Jia
DOI:10.1016/j.swevo.2026.102303delete
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Abstract

Abstract

En 中文
• Classifies CMOPs into weak, moderate, and strong constraint types. • Different handling methods have been chosen for different types of problems. • Randomly select constraints to form sparse populations for multi-constraint problems.

Journal

Swarm and Evolutionary Computation cover
Swarm and Evolutionary Computation
IF:
8.5
Papers:
2.2K
Citations:
1.0W

Organization

S
sanming university
Scholars:
110
Papers: 46
Citations: 0
N
northeast petroleum university
Scholars:
5.0K
Papers: 2.7K
Citations: 3
Cited Papers

Cited Papers

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Push and pull search for solving constrained multi-objective optimization problems
err2019-02-01
err342
errOAAI
errFan, Zhun; Li, Wenji; Cai, Xinye; Li, Hui; Wei, Caimin; Zhang, Qingfu; Deb, Kalyanmoy; Goodman, Erik
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A survey on evolutionary computation for complex continuous optimization
err2021-07-27
err194
errOAAI
errZhan, Zhi-Hui; Shi, Lin; Tan, Kay Chen; Zhang, Jun
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