基于遗传算法的天线结构优化

Structural Optimization of Antenna via Genetic Algorithms

遗传算法具有算法简单、不要求函数连续、导数存在、单蜂 ,并能收敛到全局最优解特点 ,采用遗传算法对环梁式空桁天线结构进行优化 ,设计变量为取离散值的各杆截面积 ,优化目标 :追求最佳吻合抛物面法向位移均方根偏差最小。设计实例表明 ,使用遗传算法对复杂的结构优化问题能获得较好的优化结果 ,该算法具有很强的适应性。

Genetic algorithms(GAs) are characterized by its simplicity.It doesnt require the function continuity,the existence of derivative,and the single-peak.And it can converge to global optimal solution.In this paper,GAs are employed to find the discrete bar areas for minimizing normal deviation from the best-fit-paraboloid(BFP) of antenna structures.The results of examples indicate that the near optimal solutions can be obtained for the problem of complex structure optimization by GAs,and it is of high efficiency and good adaptability.