竞争差分进化算法及其在共形阵综合中的应用

Synthesis of a conformal antenna array using the competition differential evolution strategy

将竞争机制引入差分进化算法,在变异操作时加入种群中的次优个体,利用其竞争作用提高算法的收敛速度.通过对典型测试函数的优化寻值,验证了竞争差分进化算法相对于传统差分进化算法的优越性.运用竞争差分进化算法实现了共形天线阵的低副瓣、宽零陷以及多波束综合,仿真结果表明新算法具有更快的收敛速度.

With the novel mutant operation adopting the sub-optimal individual, a Competition Differential Evolution （CDE） algorithm is proposed. The convergence speed of CDE is accelerated with the aid of the sub-optimal individual. Typical rest functions are minimized using DE and CDE algorithms to verify the performance of the CDE algorithm. Low sidelobe broad nulls and multi-beam cylinder conformal antenna arrays are synthesized by the algorithm. Simulation results show that the proposed algorithm converges faster than DE.