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
庄新村,卢宇灏,李从心. 基于遗传算法的车间调度问题[J]. 计算机工程, 2006, 32(1): 193-194,197.
ZHUANG Xincun, LU Yuhao, LI Congxin. Solving Job Shop Scheduling Problem by Genetic Algorithm[J]. Computer Engineering, 2006, 32(1): 193-194,197.