摘要
为了能处理复杂的电磁优化问题,从粒子群优化算法(PSO:Particle Swarm Optimization)的原理出发,通过对算法收敛性以及算法局限性的分析,改进了粒子群的性能,并结合参数跟踪策略(PTS:ParametersTracking Strategies)及动态搜索域形成一种新的混合算法——PSO-PTS混合算法。给出了PSO-PTS混合算法的基本理论、数学模型和步骤,并利用该方法对E形双频微带天线进行了模拟实验。仿真结果表明,该方法可有效地缩小PSO算法搜索区域,保证了解的单一性,提高了运算速度和解的精度。利用该方法设计的天线可有效地实现小型化的要求。
In order to deal with the optimization of complex electromagnetic problems, beginning with the theory of particle swarm optimization, by analyzing the convergence of the algorithm and its limitations, the performance of PSO （Particle Swarm Optimization ） was improved, parameters tracking was combined, and PSO-PTS （Particle Swarm Optimization Parameters Tracking Strategies） hybrid algorithm was proposed. The method can effectively reduce the search region of PSO algorithm, ensure the uniformity of solution, enhance the computing speed and the accuracy of solution. Basic theory, math model and predict step of the algorithm was introduced. Eshaped dual-frequency microstrip antenna by using PSO-PTS hybrid algorithm was simulated. The results show that the antenna designed by this metheod can sufficiently realize the demand of miniaturization.
出处
《吉林大学学报（信息科学版）》
CAS
2009年第5期493-499,共7页
Journal of Jilin University（Information Science Edition）
关键词
粒子群优化算法
参数跟踪
微带天线
双频
particle swarm optimization
parameters tracking
microstrip antenna
dual-frequency
