Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (6): 234-236.

• 工程与应用 • Previous Articles     Next Articles

Resource scheduling strategy in manufacture grid based on genetic algorithms and simulated anealing

LIU Hai-xia1,LI Ren-wang1,LI Xue2,ZHANG Peng-ju1,LI Yao-hui1   

  1. 1.Department of Industrial Engineering,Zhejiang Sci-Tech University,Hangzhou 310018,China
    2.Hunan Mechanical & Electrical Polytechnic,Changsha 410151,China
  • Received:2007-06-18 Revised:2007-08-27 Online:2008-02-21 Published:2008-02-21
  • Contact: LIU Hai-xia

基于遗传模拟退火算法的制造网格资源调度策略

刘海霞1,李仁旺1,李 学2,张鹏举1,李耀辉1   

  1. 1.浙江理工大学 工业工程系,杭州 310018
    2.湖南机电职业技术学院,长沙 410151
  • 通讯作者: 刘海霞

Abstract: To resolve resource scheduling problem efficiently in manufacturing grid,a multi-objective optimization model is put forward.And adopt the AHP algorithms to ascertain every target weight according to the request of consumer.Contacting the characteristic property to resource controller problem,have designed the scheduling strategy based on genetic algorithms and simulated anealing.Finally,a typical instance is illustrated to validate the model and algorithm.

摘要: 为有效解决制造网格中资源调度问题,提出了多目标调度优化模型。并根据用户的要求,采用AHP算法确定各目标权重;联系到资源调度问题的特性,设计了基于遗传模拟退火算法的调度策略,最后给出一个典型实例,验证方法的有效性。