An Approach to Distributed Constraint Satisfaction Problems by Using Mobile Agents : Development of Distributed Cooperative Power Outage Scheduling System

  • KAWAMURA Takahiro
    Systems & Software Research Laboratories, Research and Development Center, TOSHIBA Corporation
  • KASE Naoki
    Systems & Software Research Laboratories, Research and Development Center, TOSHIBA Corporation
  • HASEGAWA Tetsuo
    Systems & Software Research Laboratories, Research and Development Center, TOSHIBA Corporation
  • OHSUGA Akihiko
    Systems & Software Research Laboratories, Research and Development Center, TOSHIBA Corporation
  • HONIDEN Shinichi
    Systems & Software Research Laboratories, Research and Development Center, TOSHIBA Corporation

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Other Title
  • モバイルエージェントを用いた分散制約充足問題へのアプローチ : 分散協調型電力系統設備作業停止計画支援システムの開発

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Description

Recently several kinds of practical problems have been solved by considering them as Constraint Satisfaction Problems(CSP). Therefore a distributed approach to solving the CSP is becoming more important to model large-scale problems and solve these problems efficiently. A Solution may involve heuristics, policy and priority ordering concerning the assignment of values. Although these issues are important for rapid problem solution and more desirable solution, they have not yet been integrated into the distributed approach. Also there are some problems concerning the development of distributed systems which realize the distributed approach. Responding to this situation, in this paper we propose methods of integrating the heuristics into the distributed approach to solving the CSP and a mobile agents system to realize the above methods. We applied this system to Power Outage Scheduling Problem and found that the integrated heuristics help to solve the problems more efficiently. Finally we consider why the mobile agent model is appropriate to help integrate the heuristics into a distributed CSP.

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Details 詳細情報について

  • CRID
    1573950402150498176
  • NII Article ID
    110003186985
  • NII Book ID
    AN10013061
  • Text Lang
    ja
  • Data Source
    • CiNii Articles

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