An improved epsilon constraint-handling method in MOEA/D for CMOPs with large infeasible regions

This paper proposes an improved epsilon constraint-handling mechanism and combines it with a decomposition-based multi-objective evolutionary algorithm (MOEA/D) to solve constrained multi-objective optimization problems (CMOPs). The proposed constrained multi-objective evolutionary algorithm (CMOEA)...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 23; H. 23; S. 12491 - 12510
Hauptverfasser:	Fan, Zhun, Li, Wenji, Cai, Xinye, Huang, Han, Fang, Yi, You, Yugen, Mo, Jiajie, Wei, Caimin, Goodman, Erik
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2019 Springer Nature B.V
Schlagworte:	Artificial Intelligence Collaboration Computational Intelligence Constraints Control Decomposition Engineering Evolutionary algorithms Mathematical Logic and Foundations Mechatronics Methodologies and Application Methods Multiple objective analysis Optimization Performance evaluation Robotics Violations Constrained multi-objective optimization Robot gripper optimization Constrained multi-objective evolutionary algorithms Epsilon constraint handling
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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