An Improved Decomposition-based Multi-objective Evolutionary Algorithm with Enhanced Differential Evolution Strategy

The multi-objective evolutionary algorithm based on decomposition (MOEA/D) is proved to have a significant advantage dispose of multi-objective optimization problems (MOPs) since its introduction. However, initial MOEA/D worsen diversity, Furthermore, it is easy to generate an inferior solution by u...

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Veröffentlicht in:	2019 IEEE Symposium Series on Computational Intelligence (SSCI) S. 2245 - 2251
Hauptverfasser:	Xie, Yingbo, Hou, Ying, Qiao, Junfei, Yin, Baocai
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2019
Schlagworte:	Convergence Differential evolution Elite archive Evolutionary computation Indexes MOEA/D Multi-objective optimization Mutation strategy Optimization Performance evaluation Sociology Statistics
Online-Zugang:	Volltext
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