摘要
针对作业车间设备布局这类多目标优化问题,在标准遗传算法的基础上,通过在染色体编码、约束处理、选择算子和变异算子设计、适应值计算等方面进行优化改进,提出了一种多目标作业车间设备布局优化算法,最后通过仿真实验验证了该方法的有效性。
Addressing the application of job-shop based multi-objective optimization approach is p facility layout optimization, a new genetic algorithmchromosome coding, constrain handling, selection and mutation operators, and fitness function. Simulation experiment results show that the performance by using the proposed approach is improved.
出处
《工业工程》
北大核心
2009年第3期89-92,共4页
Industrial Engineering Journal
关键词
作业车间
设备布局
多目标
遗传算法
job shop
facility layout
multi-objective optimization
genetic algorithm
