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针对粒子群优化(PSO)算法在处理复杂优化问题时,容易早熟收敛的问题,将比例控制器用于粒子群算法种群聚集度控制.粒子种群可以在任一聚集范围内保持任意时间的搜索,这样能够更好地平衡种群聚集度和搜索精度,从而提高PSO算法处理复杂优化问题的效率.对多零点和低旁瓣约束情况下的阵列天线方向图优化进行仿真实验,结果表明所提算法可在处理复杂优化问题上取得更好的优化效果.
Aiming at the problem of particle swarm optimization (PSO) algorithm being prone to premature convergence when dealing with complex optimization problems, the PSO algorithm is used to control the degree of population aggregation in particle swarm optimization. Particle swarm optimization can be searched at any time within any aggregation range, So as to better balance the clustering degree and search precision and improve the efficiency of the PSO algorithm in solving complex optimization problems.A simulation experiment is carried out on the optimization of the array antenna pattern with more zero and low sidelobe constraints.The results show that the proposed algorithm can be used in processing Complex optimization problems to achieve better optimization results.