基于混沌粒子群算法的微带天线优化设计
he optimization design of microstrip antenna based on Chaos Particle Swarm Algorithm
粒子群优化算法中引入混沌序列可以增加粒子的多样性,提高算法的搜索性能。本文在前人的基础上改进了一种新的自适应双混沌粒子群优化算法,提高了优化速度和精度。通过对几种典型函数的测试,验证了该算法的良好性能。最后结合HFSS仿真软件,优化设计了一种宽带微带天线。
By chaotic sequence introduced to particle swarm optimization ,it can increase the diversity of particles and improve the algorithm searching performance. In this paper, based on the improvement of the predecessors, a novel adaptive dual-chaotic particle swarm optimization(CPSO) algorithm is proposed .and it improves the speed and the veracity of the optimization . Its good performance is verified by some classic function tests. At last, a design of broadband microstrip antenna is optimized by HFSS simulation software.
朱秀敏、刘建霞
电子元件、电子组件电子技术应用
自适应双混沌粒子群算法HFSS仿真软件微带天线
PSOHFSSmicrostrip antenna
朱秀敏,刘建霞.基于混沌粒子群算法的微带天线优化设计[EB/OL].(2009-11-24)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/200911-677.点此复制
评论