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计算机工程 ›› 2006, Vol. 32 ›› Issue (1): 193-194,197.

• 人工智能及识别技术 • 上一篇    下一篇

基于遗传算法的车间调度问题

庄新村,卢宇灏,李从心   

  1. 上海交通大学模具 CAD 国家工程研究中心,上海 200030
  • 出版日期:2006-01-05 发布日期:2006-01-05

Solving Job Shop Scheduling Problem by Genetic Algorithm

ZHUANG Xincun, LU Yuhao, LI Congxin   

  1. National Die & Mould CAD Eng. Research Center, Shanghai Jiaotong University, Shanghai 200030
  • Online:2006-01-05 Published:2006-01-05

摘要: 基于遗传算法对车间调度问题进行了优化,给出了自适应的遗传算子,进行了遗传算法参数设置。采用这种编码方案、遗传算子和参数使得遗传操作大大简化,能达到有效的调度作用。最后,使用标准实例对算法有效性收敛速度进行了验证,并作了简要分析。

关键词: 车间调度;遗传算法;比例选择方法

Abstract: This paper presents an intelligent scheduling optimization of Job-Shop by using genetic algorithm, provides the self-adaptive gene and defines the parameter of genetic algorithm. The use of such a coding schedule, gene and parameters make the genetic operations quite simple. Finally, it validates the effectiveness with standard samples and analyzes it briefly.

Key words: Job shop schedule; Genetic algorithm; Propertional model