Diagnostic Strategy Optimization Based on Predatory Search Algorithm

摘要：

　　With respect to the inherent NP-hard complexity of Optimization of testability diagnostic strategy problem,a predatory search algorithm simulating animal predatory strategies was designed.This algorithm adopted the gross test expense including state probability,isolation matrix and test expense as its objective function,defined local and global search by the restriction value of search space based on two points exchange,and realized the conversion between local and global search by adjusting the restriction value of search space.It had better ability to conduct local search and jump out of local optimal solution simultaneously,and provided a better resolution for the optimization of testability diagnostic strategy.

关键词： Testability Diagnostic Strategy Optimization Predatory Search Algorithm

作者: Jin Luo QiBin Deng Chen Meng

作者单位: Army 63961,Beijing 100012,China;Department of Missile Engineering,Ordnance Engineering College,Shiji Army 63961,Beijing 100012,China Department of Missile Engineering,Ordnance Engineering College,Shijiazhuang 050003,China

会议类型: 国际会议

会议名称: the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

会议地点: 广州

会议语种:英文

页码: 2441-2444

在线出版日期: 2012-11-16（万方平台首次上网日期，不代表论文的发表时间）