Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (27): 184-186.

• 工程与应用 • Previous Articles     Next Articles

Parallel genetic algorithm for tardiness scheduling problem with special process constraint

GAO Jia-quan1,ZHAO Duan-yang1,HE Gui-xia1,WANG Yu-shun2   

  1. 1.Zhijiang College,Zhejiang University of Technology,Hangzhou 310024,China
    2.School of Mathematics and Computer Science,Nanjing Normal University,Nanjing 210097,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-21 Published:2007-09-21
  • Contact: GAO Jia-quan

解特殊工艺约束拖后调度问题的并行遗传算法

高家全1,赵端阳1,何桂霞1,王雨顺2   

  1. 1.浙江工业大学 之江学院,杭州 310024
    2.南京师范大学 数学与计算机科学学院,南京 210097
  • 通讯作者: 高家全

Abstract: In order to solve parallel multi-machine tardiness scheduling problem with special process constraint in textile enterprise,a genetic algorithm based on vector coding method is presented.The algorithm shows the following advantages:its coding method is simple and can effectively reflect the virtual scheduling policy,which can vividly reflect the numbers and sequences of these produced products from every machine,and then satisfies process constraint automatically.Meanwhile,under the mode of master-slave control networks,parallel genetic algorithm is applied in order to adapt to lager scale and real-time scheduling problems of these enterprises.The computational results show that it is effective,and is advantageous over common genetic algorithms,and has much better parallel characteristics.

Key words: tardiness scheduling, parallel genetic algorithm, special process constraint, textile enterprises

摘要: 非等同拖后调度问题作为家纺企业的车间调度问题重要组成部分,有着独特的特点,一方面生产设备非等同,另一方面受特殊工艺的约束。针对该问题的特点,设计了一个基于向量编码的遗传算法。此算法编码方法简单,能有效地反映实际调度方案,并能保证满足约束条件,收敛速度快。同时为更好地适应调度实时性和解大型企业此类问题的需要,在基于遗传算法自然并行性特点的基础上,实现了主从式控制网络模式下并行遗传算法。仿真结果表明,此算法是有效的,优于普通的遗传算法,具有较高的并行性。

关键词: 拖后调度, 并行遗传算法, 特殊工艺约束, 家纺企业