Cluster-structured Firefly Algorithm for Superior Solution Set Search Problem

• Oosumi Ryuta

  Tokyo Metropolitan University

• Wang Hongran

  Tokyo Metropolitan University

• Tamura Kenichi

  Tokyo Metropolitan University

• Yasuda Keiichiro

  Tokyo Metropolitan University

Bibliographic Information

Other Title

• 優良解集合探索問題のためのクラスタ構造を有するFirefly Algorithmの基礎検討

Abstract

A new cluster-structured Firefly Algorithm for a superior solution set search problem for single-objective optimizations is proposed in this letter. After a swarm of Firefly is divided into some sub-swarms (clusters), interactions between sub-swarms are added so as to improve the search ability of Firefly Algorithm. The advantage of the proposed cluster-structured Firefly Algorithm is demonstrated through some numerical simulations.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 137 (10), 1431-1432, 2017

  The Institute of Electrical Engineers of Japan

Keywords

• single-objective optimization
• superior solution set search problem
• cluster
• metaheuristics
• Firefly Algorithm

Details

• CRID: 1390001204611955840
• NII Article ID: 130006110520
• DOI: 10.1541/ieejeiss.137.1431
• ISSN: 13488155
• ISSN: 03854221
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss/137/10/137_1431/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed