基于精华蚂蚁系统的诊断策略优化  

Optimization of Diagnostic Strategies Based on Elitist Strategy for Ant System

作　　者：焦晓璇 景博[1] 黄以锋[1] 

机构地区：[1]空军工程大学航空航天工程学院,西安710038

出　　处：《计算机测量与控制》2014年第4期1059-1061,共3页Computer Measurement &Control

基　　金：国家自然科学基金项目(51201182);航空科学基金项目(20101996012)

摘　　要：针对复杂系统的诊断策略优化问题,采用精华蚂蚁系统,通过构建合适的启发函数、状态转移规则、信息素释放和挥发机制,利用蚁群全局寻优和正反馈协作特点,快速有效地实现系统诊断策略的优化;仿真结果显示,当m=10,α=2,β=3,e=0.1,ρ=0.7时,该算法结果优于贪婪算法,而且计算时间在可接受范围内,因此可用于复杂系统的诊断策略优化。For the problem of diagnostic strategies for complex systems, adopts the elitist strategy for ant system, by constructing an ap- propriate heuristic function, state transition rules, and volatile pheromone release mechanism, using ant global optimization and positive feed- back collaboration , go effective optimization for system diagnostic strategies. Simulation results show that when m=10,α=2,β=3,e=0.1,ρ=0.7, the proposed algorithm outperforms the greedy algorithm , and the computation time within an acceptable range, can be used in complex system diagnostic strategy optimization.

关 键 词：诊断策略 精华蚂蚁系统 信息素 贪婪算法 

分 类 号：TH273[机械工程—机械制造及自动化]