遗传算法在冗余系统最优分配问题上的应用  

Using genetic algorithm on optimization of redundancy allocation problem

作　　者：刘水生[1] 沈元隆[1] 

机构地区：[1]南京邮电学院电子工程系,南京210003

出　　处：《重庆邮电学院学报（自然科学版）》2003年第4期54-57,共4页Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition)

摘　　要：以前在串 -并联冗余系统可靠性的最优分配问题上 ,总是把部件的可靠度看成是一个确定的值 ,此方法有其局限性。近几年提出了一种新的算法——遗传算法。笔者正是在遗传算法的基础上 ,把过去的方法作了相应的改进 ,把部件的可靠性和平均失效时间看成是随机变量 ,并在几个约束条件下 。Previous research on the redundancy allocation problem for series-parallel systems has focused on where component reliability is assumed to be an exact value. This paper discussed alternative formulations which allowed systems re liability and mean time to failure to be treated as random variables. The genetic algorithm was developed for these problem formulations and demonstrated on an illustrative problem and an optimal scheme was given.

关 键 词：遗传算法 冗余系统分配问题 可靠性 组合优化 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]