An Improved Epsilon Constraint-handling Method in MOEA/D for CMOPs with Large Infeasible Regions

27 Jul 2017 Zhun Fan Wenji Li Xinye Cai Han Huang Yi Fang Yugen You Jiajie Mo Caimin Wei Erik Goodman

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) is named MOEA/D-IEpsilon... (read more)

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