A hybrid constraint handling mechanism with differential evolution for constrained multiobjective optimization

Min Nan Hsieh, Tsung Che Chiang, Li Chen Fu

研究成果: 書貢獻/報告類型會議論文篇章

12 引文 斯高帕斯(Scopus)

摘要

In real-world applications, the optimization problems usually include some conflicting objectives and subject to many constraints. Much research has been done in the fields of multiobjective optimization and constrained optimization, but little focused on both topics simultaneously. In this study we present a hybrid constraint handling mechanism, which combines the -comparison method and penalty method. Unlike original -comparison method, we set an individual -value to each constraint and control it by the amount of violation. The penalty method deals with the region where constraint violation exceeds the -value and guides the search toward the -feasible region. The proposed algorithm is based on a well-known multiobjective evolutionary algorithm, NSGA-II, and introduces the operators in differential evolution (DE). A modified DE strategy, DE/better-to-best-feasible/1, is applied. The better individual is selected by tournament selection, and the best individual is selected from an archive. Performance of the proposed algorithm is compared with NSGA-II and an improved version with a self-adaptive fitness function. The proposed algorithm shows competitive results on sixteen public constrained multiobjective optimization problem instances.

原文英語
主出版物標題2011 IEEE Congress of Evolutionary Computation, CEC 2011
頁面1785-1792
頁數8
DOIs
出版狀態已發佈 - 2011 八月 29
事件2011 IEEE Congress of Evolutionary Computation, CEC 2011 - New Orleans, LA, 美国
持續時間: 2011 六月 52011 六月 8

其他

其他2011 IEEE Congress of Evolutionary Computation, CEC 2011
國家/地區美国
城市New Orleans, LA
期間2011/06/052011/06/08

ASJC Scopus subject areas

  • 計算機理論與數學
  • 理論電腦科學

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