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基于混沌粒子群算法的微带天线优化设计

发表时间:2010-04-30  浏览量:1549  下载量:769
全部作者: 刘建霞,朱秀敏
作者单位: 太原理工大学信息工程学院
摘 要: 从增加智能算法的粒子多样性角度出发,在粒子群优化(particle swarm optimization,PSO)算法中引入混沌序列以增加粒子的多样性,提高算法的搜索性能,并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(chaotic particle swarm optimization, CPSO)算法,提高了算法的优化速度和精度。通过对几种典型函数的测试,比较改进后的粒子群算法与基本粒子群算法以及遗传算法的仿真结果,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。
关 键 词: 电磁场与微波技术;自适应双混沌粒子群算法;HFSS;微带天线
Title: Optimization design of microstrip antenna based on chaos particle swarm algorithm
Author: LIU Jianxia, ZHU Xiumin
Organization: College of Information Engineering, Taiyuan University of Technology
Abstract: In order to increase the particle swarm diversity of intelligent algorithm, chaotic sequence is introduced to particle swarm optimization (PSO) for increasing the diversity of particles and improving the algorithm searching performance. Based on the improvement of the predecessors, the paper proposed a novel adaptive dual-chaotic particle swarm optimization (CPSO) algorithm, which 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.
Key words: electromagnetic field and microwave technology; self-adaptive dual-chaotic particle swarm optimization; HFSS; microstrip antenna
发表期数: 2010年4月第8期
引用格式: 刘建霞,朱秀敏. 基于混沌粒子群算法的微带天线优化设计[J]. 中国科技论文在线精品论文,2010,3(8):756-761.
 
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