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

Chiawei Yeh, Toshiharu Sugawara

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

    2 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
    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

    Other

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

    Fingerprint

    Ant colony optimization
    Multi agent systems
    Sensor networks
    Robots

    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

    Cite this

    Yeh, C., & Sugawara, T. (2016). Solving coalition structure generation problem with double-layered ant colony optimization. In Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 (pp. 65-70). [7557577] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2016.57

    Solving coalition structure generation problem with double-layered ant colony optimization. / Yeh, Chiawei; Sugawara, Toshiharu.

    Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 65-70 7557577.

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

    Yeh, C & Sugawara, T 2016, Solving coalition structure generation problem with double-layered ant colony optimization. in Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016., 7557577, Institute of Electrical and Electronics Engineers Inc., pp. 65-70, 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016, Kumamoto, Japan, 16/7/10. https://doi.org/10.1109/IIAI-AAI.2016.57
    Yeh C, Sugawara T. Solving coalition structure generation problem with double-layered ant colony optimization. In Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 65-70. 7557577 https://doi.org/10.1109/IIAI-AAI.2016.57
    Yeh, Chiawei ; Sugawara, Toshiharu. / Solving coalition structure generation problem with double-layered ant colony optimization. Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 65-70
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