阵列天线的双种群遗传算法综合

Synthesis of array antenna using double population genetic algorithm

提出一种双种群遗传算法(DPGA)优化阵元电流幅度,以实现对阵列天线方向图的综合。该算法采用全局与局部两个种群,对每个种群选取各自的目标函数、适应度评价指标和遗传运算方法。DPGA综合了全局种群搜索的广泛性和局部种群搜索的快速性,在全局寻优的基础上将搜索范围局限在含有最优点的较小区域,避免早期收敛,提高了算法的搜索能力。计算结果表明,DPGA不受天线频率限制,并得到比相关文献更好的结果。

A double population genetic algorithm （DPGA） is presented and applied to synthesize the array antenna pattern by controlling only the current amplitudes. In the algorithm, the global and local population is employed, and each population had different object function, fitness evaluation and genetic programming. Containing the population multiplicity and speediness, DPGA locats the optimization area into a small region and results in avoiding of premature convergence and improvement of the search ability. Computer simulation shows that DPGA has no frequency restriction and may obtain better results than those reported in other literatures.