解特殊工艺约束拖后调度问题的并行遗传算法  

Parallel genetic algorithm for tardiness scheduling problem with special process constraint

作　　者：高家全[1] 赵端阳[1] 何桂霞[1] 王雨顺[2] 

机构地区：[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

出　　处：《计算机工程与应用》2007年第27期184-186,208,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(the National Natural Science Foundation of China under Grant No.40405019);浙江省教委基金(No.20051436)

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。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.

关 键 词：拖后调度 并行遗传算法 特殊工艺约束 家纺企业 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]