Characteristic Analysis of Artificial Bee Colony Algorithm with Network-Structure

• Imamura Shunta

  Graduate School of System Informatics, Kobe University

• Kaihara Toshiya

  Graduate School of System Informatics, Kobe University

• Fujii Nobutada

  Graduate School of System Informatics, Kobe University

• Kokuryo Daisuke

  Graduate School of System Informatics, Kobe University

• Kitamura Akira

  Graduate School of Engineering, Tottori University

抄録

The artificial bee colony (ABC) algorithm, which is inspired by the foraging behavior of honey bees, is one of the swarm intelligence systems. This algorithm can provide an efficient exploration of the optimal solutions using three different types of agents for optimization problems with multimodal functions. However, the performance of the conventional ABC algorithm decreases for high-dimensional problems. In this study, we propose an improved algorithm using the network structure of agents to enhance the ability for global search. The efficacy of the proposed algorithm is evaluated by performing computer experiments with high-dimensional benchmark functions.

収録刊行物

• Journal of Advanced Computational Intelligence and Intelligent Informatics

  Journal of Advanced Computational Intelligence and Intelligent Informatics 21 (3), 496-506, 2017-05-20

  富士技術出版株式会社

キーワード

• artificial bee colony algorithm
• network-structure
• swarm intelligence
• high-dimensional problem

詳細情報

• CRID: 1390282763071077632
• NII論文ID: 130007520052
• NII書誌ID: AA12042502
• DOI: 10.20965/jaciii.2017.p0496
• ISSN: 18838014
• ISSN: 13430130
• NDL書誌ID: 028174468
• Web Site: http://id.ndl.go.jp/bib/028174468
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I028174468
• Web Site: https://www.fujipress.jp/main/wp-content/themes/Fujipress/phyosetsu.php?ppno=JACII002100030012
• 本文言語コード: en
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可