摘要
n中取连续k系统的失效与否,不是单纯地取决于失效部件的个数,而是取决于相邻失效部件的个数。该类系统的可靠性对飞机机载导航设备的安全性具有重要的意义,所以如何分配这n个部件的位置才能使得系统结构的可靠性最大是该问题的关键所在。基于该问题,以最大化系统的可靠性为目标函数,利用遗传算法来求解该系统最优的部件排列。最后以四种典型系统为例,与传统的算法进行对比,验证该遗传算法的有效性和正确性。
Whether the consecutive-k-out-of-n system can function properly depends on not only the number of the failed components, but also the number of adjacent failed components. The importance of such systems is sig- nificant for the safety of airborne navigation system. Therefore the key issue is that how to arrange the positions of n components to obtain the maximum reliability of system structure. With aiming at maximizing the reliability of the system, the genetic algorithm is used to obtain the optimum component arrangement. In the end, compared with the traditional algorithms, the algorithm' s effectiveness and accuracy is verified, with 4 typical systems as examples.
出处
《科学技术与工程》
北大核心
2013年第11期3200-3204,共5页
Science Technology and Engineering
关键词
n中取连续k系统
可靠性
遗传算法
部件
consecutive-k-out-of-n system reliability genetic algorithm component