虚拟维修拆卸序列智能规划研究  

Research on Virtual Maintenance Disassembly Sequence Intelligent Planning

作　　者：张王卫[1] 苏群星[2] 刘鹏远[1] 

机构地区：[1]军械工程学院导弹工程系,石家庄050003 [2]武汉军械士官学校,武汉430075

出　　处：《系统仿真学报》2013年第8期1912-1918,共7页Journal of System Simulation

摘　　要：提出了基于虚拟拆卸Petri网的虚拟维修拆卸过程模型和基于混沌遗传算法的虚拟维修拆卸序列规划算法,解决了如何对虚拟维修拆卸序列进行智能规划的问题。基于拆卸优先矩阵和Petri网,提出了一种虚拟维修拆卸过程模型建立方法,研究了模型生成算法,运用多粒度可达图计算方法分析了可行拆卸序列,建立了拆卸序列规划目标函数,在改进遗传算法的基础上,提出了一种混沌遗传算法,该算法以遗传算法为主流程,利用混沌现象不重复遍历的特点优化生成初始种群,然后对每次迭代中的个体以一定的概率进行混沌优化,解决了虚拟维修拆卸序列规划效率不高的问题。经验证,虚拟维修拆卸过程模型和采用的混沌遗传算法能够有效解决虚拟维修拆卸序列智能优化的问题。The methods of disassembly process modeling and disassembly sequence planning were researched.The virtual maintenance disassembly process model was designed based on Disassembly Process Matrix and Virtual Disassembly Petri Net.A chaotic genetic algorithm based on genetic algorithm combined with chaotic theory was purposed to virtual maintenance disassembly sequence planning problem.This improved algorithm took GA as the main flow,and used the character of traversing without repeat of chaos to optimize the initial group and then optimized each individual with certain probability.

关 键 词：拆卸优先矩阵 PETRI网 混沌遗传 虚拟维修 序列规划 

分 类 号：TP319.3[自动化与计算机技术—计算机软件与理论]