微型机与应用2017，Vol.36Issue(10)：40-43,47,5.DOI:10.19358/j.issn.1674-7720.2017.10.012
基于蚁群遗传算法的冗余备用元件优化研究
Research on redundant spare element optimization based on ant colony and genetic algorithm
宋洪宇 1史小宏1
作者信息
- 1. 上海海事大学 信息工程学院,上海 201306
- 折叠
摘要
Abstract
In order to solve the problem of complex system reliability and mission cost evaluation, a hybrid redundant backup system model is proposed.The components's reliability and mission cost of complex system are calculated by the probability distribution method of discrete mathematics, and the optimal distribution of spare components is solved by the hybrid algorithm with ant colony and genetic algorithm.Finally, the reliability and mission cost of the system and the optimal distribution of the spare components are calculated by the simulation experiment.The reliability of the system is improved on the basis of minimizing the operation cost.关键词
冗余备用/可靠性/任务成本/蚁群遗传算法/最优分布Key words
redundant backup/reliability/mission cost/ant colony and genetic algorithm/optimal distribution分类
信息技术与安全科学引用本文复制引用
宋洪宇,史小宏..基于蚁群遗传算法的冗余备用元件优化研究[J].微型机与应用,2017,36(10):40-43,47,5.
