基于遗传算法的多层吸波材料优化设计

Design and Optimization Software of Multilayer Absorbers Based on Genetic Algorithm

采用等效传输线方法计算多层吸波材料的反射率,以吸波涂层在指定频率区间内反射率整体达到最佳吸波效果构造优化设计目标函数;然后,利用复化牛顿-柯特斯数值积分方法求解目标函数;然后,将遗传算法运用到目标函数的最优化求解过程中;最后,采用VC6.0编制了基于遗传算法的多层吸波材料优化设计软件。计算结果表明:在吸波材料数据库确定时,该软件可对指定频率区间内多层(层数不限)吸波材料进行优化设计,能准确计算出各层吸波材料的厚度、材料类别和材料的排列顺序,设计结果准确有效,遗传算法的利用大大提高了优化设计的效率。

The reflectivity from multilayer microwave absorbers is calculated in terms of equivalent transmission hne theory. The objective function is formulated to optimize the mean reflectivity performance of an absorber across the whole frequency band. Then the rehabilitation of newton-cotes numerical integration method is used to solve the objective function. The genetic algorithm is adopted to optimize the absorber design against objective functions. Finally, the software based on the genetic algorithm method is developed by VC6.0 for the optimization of the absorber design. The numerical results show that the software can enable the design of the best possible multilayered absorber with certain parameters that are available, such as thickness, material and arrangement of each layer. Furthermore, the computation efficiency of numerical optimization has been greatly improved by genetic algorithm method.