Local Descent Direction Vector Based Differential Evolution for Multiobjective Optimization

• Kamiyama Daichi

  Tokyo Metropolitan University

• Tamura Kenichi

  Tokyo Metropolitan University

• Yasuda Keiichiro

  Tokyo Metropolitan University

Bibliographic Information

Other Title

• 局所的降下方向ベクトルを用いたDifferential Evolutionの多目的最適化問題への拡張
• キョクショテキ コウカ ホウコウ ベクトル オ モチイタ Differential Evolution ノ タモクテキ サイテキ カ モンダイ エ ノ カクチョウ

Abstract

Differential Evolution (DE) is an effective optimization method for global continuous optimization problems. Recently, we developed Local Descent Direction Vector Based Differential Evolution (LDDVDE) which uses local descent direction vectors based on the operation vectors in order to improve local search performance of DE. In this paper, we extend LDDVDE to multiobjective optimization problems. We adopt Hyper-Volume indicator to order the operation vectors to make the local descent direction vectors for the case of multiobjective optimization problems. The effectiveness of the proposed method is confirmed through some numerical experiments for typical benchmark problems.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 132 (8), 1356-1361, 2012

  The Institute of Electrical Engineers of Japan

Keywords

• Differential Evolution
• Metaheuristics
• Direct Search
• Local Descent Direction Vector
• Multiobjective Optimization

Details

• CRID: 1390282679584520832
• NII Article ID: 130001902397
• NII Article ID: 10030937355
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.132.1356
• BIBCODE: 2012ITEIS.132.1356K
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 023922120
• Web Site: http://id.ndl.go.jp/bib/023922120
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I023922120
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss/132/8/132_1356/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed