自适应遗传算法在柔性制造系统优化配置中的应用  

Application of Adaptable Genetic Algorithms in Optimal Configuration of Flexible Manufacturing System

作　　者：王倩[1] 李建勇[1] 

机构地区：[1]北京交通大学机械与电子控制工程学院,北京100044

出　　处：《中国制造业信息化（学术版）》2007年第1期25-28,共4页

摘　　要：针对柔性制造系统优化配置的闭排队网络模型设计变量多、耦合关系复杂等特点,采用了交叉概率和变异概率随进化代数自适应变化的遗传算法对其进行求解。经算例证明,采用此法后,不仅保持了遗传算法全局寻优的特点,而且搜索效率也显著提高。Flexible manufacturing system＇s optimal corffiguration is the closed queuing networks model, which has many design factors and complex coupling relationship. It uses genetic algorithms to solve the problem. This algorithm has the probability of the cross and mutation can adaptably change with the age of the evolution. As an examples, the method not only keeps the advantage to find out the optimal result in the entire problem, but also can accelerate the speed of search.

关 键 词：柔性制造系统 优化配置 闭排队网络 自适应遗传算法 

分 类 号：TH165[机械工程—机械制造及自动化]