A Basic Study of Multi-Objective Artificial Bee Colony Algorithm Based on Division of Search Functions

• Morita Seijun

  Tokyo Metropolitan University

• Takamura Shuhei

  Tokyo Metropolitan University

• Tamura Kenichi

  Tokyo Metropolitan University

• Tsuchiya Junichi

  Tokyo Metropolitan University

• Yasuda Keiichiro

  Tokyo Metropolitan University

Bibliographic Information

Other Title

• 探索機能分担に基づく多目的Artificial Bee Colony Algorithmの基礎検討

Abstract

In this letter, we propose a new multi-objective optimization method based on Artificial Bee Colony Algorithm. The proposed method takes advantage of division of search functions that characterize Artificial Bee Colony Algorithm. The performance of the proposed method is verified by numerical simulation using three typical benchmark problems.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 135 (12), 1598-1599, 2015

  The Institute of Electrical Engineers of Japan

Keywords

• Multi-Objective Optimization
• Metaheuristics
• Functional Specialization
• Artificial Bee Colony Algorithm

Details

• CRID: 1390282679585579520
• NII Article ID: 130005112626
• DOI: 10.1541/ieejeiss.135.1598
• ISSN: 13488155
• ISSN: 03854221
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss/135/12/135_1598/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed