CIMにおける遺伝的アルゴリズムを用いた協調計算手法について A Cooperative Scheduling Method with Genetic Algorithm for CIM

この論文にアクセスする

この論文をさがす

著者

抄録

This paper proposes a cooperative scheduling method with the Genetic Algorithm (GA) for the CIM (Computer Integrated Manufacturing) system.<br>There are many scheduling problems in the CIM, such as design scheduling, production scheduling and transportation scheduling. Recently, the GA has been applied to these problems, and has shown a high performance in scheduling problems. However, the application has been done to an individual problem in the CIM system. Since the scheduling problems have some relations with each other, it is important to consider these problems from the view points of total elapsed time, total cost, total energy consumption, etc.<br>This paper proposes a cooperative scheduling method using multi-agent model. Each agent independently solves its own problem using the GA and has a function to tune the parameters for strategic search through interactions with each agent. This system is flexible in coping with the changes of environment, such as the change of scheduling conditions or trouble of some machines. Simulations are done to show the feasibility of proposed method, using Jobshop Scheduling Problem (JSP) and Transportation Problem (TP).

収録刊行物

  • 計測自動制御学会論文集  

    計測自動制御学会論文集 31(5), 606-614, 1995-05-31 

    The Society of Instrument and Control Engineers

参考文献:  17件

参考文献を見るにはログインが必要です。ユーザIDをお持ちでない方は新規登録してください。

各種コード

  • NII論文ID(NAID)
    10002484247
  • NII書誌ID(NCID)
    AN00072392
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    04534654
  • NDL 記事登録ID
    3607105
  • NDL 雑誌分類
    ZM11(科学技術--科学技術一般--制御工学)
  • NDL 請求記号
    Z14-482
  • データ提供元
    CJP書誌  NDL  J-STAGE 
ページトップへ