Solving coalition structure generation problem with double-layered ant colony optimization

Chiawei Yeh, Toshiharu Sugawara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The coalition structure generation problem is now a big issue in the field of multi-agent systems. With many agents working in the same environment, cooperation may become a key point to complete a mission efficiently. This problem can also be found in many areas such as sensor networks, multi-robot systems, and even e-commerce. However, it has been proved to be NP-complete to find an optimal solution. In the paper, a stochastic algorithm called double-layered ant colony optimization is proposed to deal with the task-oriented coalition structure problem. Then, we evaluate the solution quality by comparing it with the optimal solutions derived by CPLEX. The results indicate that even though this method cannot guarantee the optimal solution, it can find a coalition structure that is good enough within a reasonably short time.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
EditorsAyako Hiramatsu, Tokuro Matsuo, Akimitsu Kanzaki, Norihisa Komoda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-70
Number of pages6
ISBN (Electronic)9781467389853
DOIs
Publication statusPublished - 2016 Aug 31
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: 2016 Jul 102016 Jul 14

Publication series

NameProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
Country/TerritoryJapan
CityKumamoto
Period16/7/1016/7/14

Keywords

  • Ant Colony Optimization
  • Coalition Structure Generation
  • Multi-Agent Systems

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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