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

Toshiharu Sugawara*, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara

*この研究の対応する著者

研究成果

抄録

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.

本文言語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
出版ステータスPublished - 2010
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

Conference

Conference12th Annual Genetic and Evolutionary Computation Conference, GECCO-2010
国/地域United States
CityPortland, OR
Period10/7/710/7/11

ASJC Scopus subject areas

  • 計算理論と計算数学
  • 理論的コンピュータサイエンス

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