【摘要】 采用免疫算法来优化相控低副瓣直线阵,详细讨论了该算法应用于相控低副瓣直线阵优化的基本问题。文中免疫算法中采用了基于适应值的高斯变异,加快了算法的收敛速度。对八阵元组成的等间距直线阵进行了数值实验,仿真结果表明,该算法能有效地抑制直线阵左右最大旁瓣,获得了比基本遗传算法更低的最大副瓣,并且收敛速度明显优于基本遗传算法。更多还原

【Abstract】 Immuning algorithm introduced to optimize linear array with low sidelobe which controlled only by phase.The algorithm to optimize some of the basic issues straight is discussed detailedly.Adopted Guassian-like mutation is used in immuning algorithm in order to accelerate the convergence of the algorithm.Numerical experiment of eight elements’ uniformly-spaced linear array using this algorithm is performed.Computer simulations show that immuning algorithm can suppress the sidelobe effectively.A lower max sidelobe which compared with simple genetic algorithm is gained.The pace of convergence is also excellent.更多还原