摘要
在满足一定可靠性指标要求条件下，使投资最小的复杂系统可靠性优化问题是一个具有多局部极值的非线性的优化问题．使用遗传算法求解问题搜索到了其他算法未能得到的最优解，在遗传算法的应用中，使用基于排名的选择策略和最优保存策略，改善了遗传算法的收效性能．
A reliability optimization problem of complex system minimizing,invesment with the constraints of certain reliability index, is a nonlinear optimization problem with a large number of local extreme values. It is very difficult to search the global or nearly global optimal solution of such a problem using traditional optimization techniques. Here, genetic algorithm is adopted to solve the system reliability optimization problem, and a more optimal solution is obrained than by other algorithms. In the application of GA, ranking selection strategy and OC strategy and OC strategy are adopted, Which improve the convergence performance of GA.
出处
《哈尔滨理工大学学报》
CAS
2000年第3期90-93,共4页
Journal of Harbin University of Science and Technology
基金
机械工业部自然科学基金项目!(98250631)
关键词
遗传算法
系统可靠性
最优化
复杂系统
genetic algorithm(GA), optimization of system reliability
complex system
