提出一种新的组合优化方法。先通过遗传算法得到一个初步的优化结果,再用直接搜索算法进行二次优化,这样既突出了遗传算法全局寻优的特点,又避免了它在接近最优解时出现的小幅度随机波动。以低副瓣平方余割波束天线阵的综合为例,在主瓣达到要求的前提下,组合算法得到的天线阵方向图副瓣比直接搜索算法和遗传算法的副瓣低4dB以上。
A new combined algorithm has been presented. An approximate optimum result is obtained firstly by GA, and then the result is used as the initial value of the direct search algorithm in the following optimization. This new algorithm emphasizes the global optimization characteristic of GA, and avoids the slightly random fluctuation using GA when the solution closes to optimum. In this way, the more excellent solution can be obtained. As an example, we synthesis a low side lobe square cosec beam antenna array. The side lobes of pattern obtained by the combined algorithm are 4dB lower than those by GA and direct search algorithm while the main lobes meet requests.