改进SLP和遗传算法结合的车间设备布局优化

发布时间：2018-01-25 16:39

本文关键词： 车间设备布局系统布置设计遗传算法优化　出处：《组合机床与自动化加工技术》2017年08期 　论文类型：期刊论文

【摘要】：针对加工多种类产品,且具有固定入口和出口的生产车间,运用改进的SLP和遗传算法相结合的方法进行车间设备布局的优化,从而减少人员、物料的移动成本,提高车间利用率和企业的核心竞争力。首先,在对生产车间的物流进行详细分析的基础上,利用改进的SLP理论确定生产车间设备布局的初步方案。然后,把SLP形成的初步方案作为遗传算法的初始种群的部分染色体,利用改进的遗传算法实现对案例车间设备布局的优化。运用改进的SLP和遗传算法相结合的方法进行车间设备布局的优化,弥补了SLP过于依赖经验、约束过多的缺点,同时,提高了遗传算法的选优能力,减少了随机性所引起的误差,在选出最好个体的同时保证了种群的多样性,使最终的布局方案更具实用价值。
[Abstract]:For the workshop which processes many kinds of products and has fixed entrance and exit, the improved SLP and genetic algorithm are used to optimize the layout of workshop equipment, so as to reduce the number of personnel. Material moving cost, improve the workshop utilization ratio and the core competitiveness of the enterprise. First, on the basis of the detailed analysis of the logistics of the production workshop. The improved SLP theory is used to determine the preliminary scheme of plant layout in production workshop. Then, the preliminary scheme formed by SLP is regarded as part of the chromosome of the initial population of genetic algorithm. The improved genetic algorithm is used to optimize the layout of case workshop equipment, and the improved SLP and genetic algorithm are used to optimize the layout of workshop equipment, which makes up for the excessive reliance of SLP on experience. At the same time, it improves the ability of genetic algorithm to select the best, reduces the error caused by randomness, and ensures the diversity of population while selecting the best individual. Make the final layout scheme more practical value.
【作者单位】：四川大学制造科学与工程学院;
【基金】：四川省科技计划项目(2015FZ0005)
【分类号】：TB491;TP18
【正文快照】： 0引言planning,简称SLP)[3]和遗传算法[4-5]。SLP构建车间设备布局,其布局方案易受设计人员主观经验的影响。强化物流管理是提升企业核心竞争力的有效途同样,遗传算法的初始种群的选择会直接影响算法的径。随着对生产加工过程的深入研究,发现在整个生寻优能力,且算法的局部搜

【相似文献】