An Extension of MOEA/D to Constrained Optimization and Adaptive Weight Adjustment

• Yasuda Yusuke

  Tokyo Metropolitan University

• Kumagai Wataru

  Yokogawa Electric Corporation, Ltd

• Tamura Kenichi

  Tokyo Metropolitan University

• Yasuda Keiichiro

  Tokyo Metropolitan University

Bibliographic Information

Other Title

• MOEA/Dの有制約最適化への拡張と適応的重み調整に関する基礎検討

Abstract

An extended Multiobjective Evolutionary Algorithm Based on Decomposition (MOEA/D) with adaptive weight adjustment is proposed in this letter. The proposed method facilitates the search on the constraint boundary by adaptively adjusting the weights in the search process. The search performance of the proposed method is shown to be superior to that of the conventional method through numerical experiments using a constrained convex optimization problem.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 142 (1), 108-109, 2022-01-01

  The Institute of Electrical Engineers of Japan

Keywords

• constrained optimization
• metaheuristics
• constraint handling technique
• MOEA/D
• parameter adjustment

Details

• CRID: 1390572092344570496
• NII Article ID: 130008139026
• DOI: 10.1541/ieejeiss.142.108
• ISSN: 13488155
• ISSN: 03854221
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss/142/1/142_108/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed