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粒子群优化算法(PSO)是一种基于群智能的随机优化算法,其理论简单,参数少,易于实现,可用于解决大量非线性、不可微和多峰值的复杂问题。本文介绍了粒子群算法的基本原理和基本流程,研究了如何将这种方法应用于阵列天线的方向图综合上,给出了PSO算法在阵列天线方向图综合的应用实例,结果表明粒子群算法在阵列天线方向图综合上有很好的应用前景。
Particle Swarm Optimization (PSO) is a kind of stochastic optimization algorithm based on swarm intelligence. Its theory is simple and its parameters are few and easy to implement. It can be used to solve a large number of complex problems such as non-linearity, non-differentiable and multi-peak. This paper introduces the basic principle and basic flow of PSO, studies how to apply this method to the pattern synthesis of array antenna, and gives the application example of the PSO algorithm in the array antenna pattern synthesis. The results show that PSO In the array antenna pattern synthesis has a very good application prospects.