A localized decomposition evolutionary algorithm for imbalanced multi-objective optimization

Yulong Ye, Qiuzhen Lin, Ka-Chun Wong, Jian-qiang Li, Zhong Ming, Carlos A. Coello Coello

Abstract: Highlights•LDEA proposes a localized decomposition algorithm for imbalanced MOPs.•The proposed decomposition method assigns local regions to subproblems.•Mating selection, operators, and environmental selection are modified to cooperate with LDEA.•LDEA outperforms other competitive MOEAs on imbalanced and complicated MOPs.