论文部分内容阅读
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。
The failure of a continuous k system in n depends not only on the number of failed components but on the number of adjacent failed components. The reliability of this kind of system is of great significance to the safety of aircraft airborne navigation equipment. Therefore, how to allocate the positions of these n components to maximize the reliability of the system structure is the crux of the problem. Based on this problem, using the genetic algorithm to solve the optimal component arrangement of the system in order to maximize the reliability of the system as the objective function. Finally, taking four kinds of typical systems as an example, compared with the traditional algorithm to verify the validity and correctness of the genetic algorithm.