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基于遗传算法的排产优化方法
引用本文:韩志甲,邓海峡,李晓平. 基于遗传算法的排产优化方法[J]. 太赫兹科学与电子信息学报, 2014, 12(4): 595-599
作者姓名:韩志甲  邓海峡  李晓平
作者单位:China Academy of Engineering Physics,Mianyang Sichuan 621999,China;China Academy of Engineering Physics,Mianyang Sichuan 621999,China;China Academy of Engineering Physics,Mianyang Sichuan 621999,China
摘    要:针对单件小批量生产车间的优化排产问题,采用遗传算法进行研究,设计了一种分组编码方案,提出了可处理零部件间装配关系的适应度函数算法。介绍了遗传算法在车间优化排产中的实现方法及结果,重点讨论了编码方案及适应度函数设计。基于此算法,开发了生产作业计划排产软件,可完成顺排产与倒排产的自动排产,实现工艺排产的智能化。

关 键 词:排产  遗传算法  生产计划
收稿时间:2013-05-13
修稿时间:2014-01-08

Scheduling optimization based on genetic algorithm
HAN Zhi-ji,DENG Hai-xia and LI Xiao-ping. Scheduling optimization based on genetic algorithm[J]. Journal of Terahertz Science and Electronic Information Technology, 2014, 12(4): 595-599
Authors:HAN Zhi-ji  DENG Hai-xia  LI Xiao-ping
Affiliation:HAN Zhi-jia;DENG Hai-xia;LI Xiao-ping;China Academy of Engineering Physics;
Abstract:For the single and small-batch job-shop scheduling problem, an encoding method based on genetic algorithm is proposed. A new fitness function algorithm that can deal with the relationship of the part and assembly is presented. The realization method and results of genetic algorithm in the job-shop optimization scheduling are introduced, mainly focusing on the encoding method and the design of fitness function algorithm. Based on this algorithm, a kind of software for production plan scheduling is developed to realize intelligent process scheduling. It can automatically realize the forward and backward plan.
Keywords:
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