遗传算法在低副瓣天线阵综合中的应用

Low Sidelobe Antenna Array Synthesis Using Genetic Algorithm

应用遗传算法进行低副瓣天线阵的综合 .针对低副瓣天线阵综合的特点 ,通过构造适当的适应度函数 ,大大减少了计算量 .通过对适应度函数进行非线性变换 ,增强了遗传算法的搜索能力 .由于遗传算法固有的隐并行性、鲁棒性和简单易行等特点 ,提高了计算效率 ,可以获得全局最优解 ,并且收敛稳定 .

Genetic algorithm is applied to synthesize low sidelobe antenna array. By constructing proper fitness function, computational complexity can be reduced. The searching ability of genetic algorithm is improved by nonlinar transformation of fitness function. Because of genetic algorithm's inherent characteristics, such as implicit parallelism, robustness and simplicity, computational efficiency can be improved, and global optimum results can also be found. The convergence of genetic algorithm is stable, and good results are achieved.