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Volume 28 Issue 2
Apr.  1999
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WENG Miaofeng. SAEP ALGORITHM OF SOLVING JOB SHOP SCHEDULING PROBLEM[J]. INFORMATION AND CONTROL, 1999, 28(2): 81-85.
Citation: WENG Miaofeng. SAEP ALGORITHM OF SOLVING JOB SHOP SCHEDULING PROBLEM[J]. INFORMATION AND CONTROL, 1999, 28(2): 81-85.
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SAEP ALGORITHM OF SOLVING JOB SHOP SCHEDULING PROBLEM

  • East China Shipbuilding Institute, Zhenjiang, 212003

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  • Received Date: August 17, 1998
  • Published Date: April 19, 1999
    Graphical Abstract
    • Abstract
  • In this paper, a combined evolutionary programming (SAEP) with simulated annealing is presented to solve Job-shop scheduling problem. Two different selected methods between SAEP and EP and their mutation operators are discussed, and simulation results are given to illustrate the efficiency of the presented algorithm, and a comparison between the two algorithms is also presented.
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    • References (1)
  • 1 Yip P,Yoh-han Pao.Combinatorial Optimization With Use of Guided Evolutionary Simulated Annealing.IEEE Trans.Neural Networks,1995,6(2) : 290～295
    2 姚新,陈国良等.进化算法研究进展.计算机学报,1995,18(9),694～705
    3 方剑等.基于事件驱动的Job-Shop仿真调度系统.系统仿真学报,1997,9(4) : 42～50
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