The Improved Particle Swarm Optimization Applied in Auto Carrier Landing System

摘要：

　　To solve the problem that standard Particle Swarm Optimization can get into local optimum prematurely,an improved Particle Swarm Optimization algorithm is proposed.The improved algorithm can be used to optimize event pa-ameters of Auto carrier landing system.It improves the population diversity and the searching efficiency of particle swarm by introducing mutation operator based on orthogonal design area and modifying particles speed.The effectiveness of this algorithm is verified by using simulation experiments.

关键词： Auto carrier landing system Particle Swarm Optimization local optimum optimize parameters

作者: Liu Baoning Zhang Weiguo Li Guangwen Liu Xiaoxiong

作者单位: College of Automation Northwestern Polytechnical University Xian, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 818-821

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）