虚拟维修拆卸序列规划方法研究  

Virtual Maintenance Disassembly Sequence 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,河北石家庄050003 [2]武汉军械士官学校,湖北武汉430075

出　　处：《计算机仿真》2013年第6期115-120,共6页Computer Simulation

摘　　要：提出一种混沌遗传算法来解决了虚拟维修拆卸序列规划效率不高的问题。针对虚拟维修拆卸过程中拆卸序列规划问题,在遗传算法的基础上,结合混沌优化理论,提出了混沌遗传优化算法。上述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。经验证,混沌遗传算法能够有效解决虚拟维修拆卸序列优化问题。A chaotic genetic algorithm based on genetic algorithm combined with chaotic theory was purposed to virtual maintenance disassembly sequence planning problem. In the method, the initial population was produced by the ergodic property of chaos phenomenon and the optimization process was made with small perturbations on individ- ual populations by using the chaos perturbed technology. The study proves the efficiency of this hybrid genetic algo- rithm..

关 键 词：混沌遗传 虚拟维修 拆卸序列规划 

分 类 号：TP319.1[自动化与计算机技术—计算机软件与理论]