Adaptive probabilistic task allocation in large-scale multi-agent systems and its evaluation

Toshiharu Sugawara, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara

研究成果: Conference contribution

抜粋

In this paper, we introduce the probabilistic awardee selection strategy, under which awardee is selected with a fixed probability, into the award phase of contract net protocol. We then point out that, by changing the probabilities in this strategy according the local workload, the overall performance can be considerably improved.

元の言語English
ホスト出版物のタイトルProceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10
ページ1311-1312
ページ数2
DOI
出版物ステータスPublished - 2010 8 27
外部発表Yes
イベント12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010 - Portland, OR, United States
継続期間: 2010 7 72010 7 11

出版物シリーズ

名前Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10

Other

Other12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010
United States
Portland, OR
期間10/7/710/7/11

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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  • これを引用

    Sugawara, T., Fukuda, K., Hirotsu, T., & Kurihara, S. (2010). Adaptive probabilistic task allocation in large-scale multi-agent systems and its evaluation. : Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10 (pp. 1311-1312). (Proceedings of the 12th Annual Genetic and Evolutionary Computation Conference, GECCO '10). https://doi.org/10.1145/1830483.1830718