基于一种新的粒子群算法的天线方向图综合技术

高波; 金荣洪; 耿军平

doi:10.3724/SP.J.1146.2006.00510

基于一种新的粒子群算法的天线方向图综合技术

doi: 10.3724/SP.J.1146.2006.00510

基金项目:

国家自然科学基金(F010402/60501016)资助课题

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出版历程
- 收稿日期: 2006-04-17
- 修回日期: 2006-11-09
- 刊出日期: 2007-12-19

Pattern Synthesis of Antenna Array Using a Novel Quasi PSO Algorithm

摘要

摘要: 该文在线性递减权重粒子群算法的基础上提出了一种新的准粒子群优化算法。新算法借鉴了遗传算法中交叉的思想并采用了对偶算法模型改善了算法的优化速度和收敛特性。仿真表明，将此算法应用在天线方向图综合中，取得了良好的优化效果。
- 阵列天线;粒子群优化算法;遗传算法;早熟收敛;方向图综合
Abstract: In this paper, a novel Quasi Particle Swarm Optimization(Quasi-PSO)based on Linear Decreasing Weight Particle Swarm Optimization(LDW-PSO) is presented. In order to improve the optimization speed and convergence performance, the novel algorithm is built by employing the idea of crossover of the genetic algorithm and adopting an antithetic algorithmic model. The simulation results show that it has achieved relatively high performance in the radiation pattern synthesis of antenna arrays.

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参考文献(1)

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