夹层天线罩壁电性能的多目标遗传优化

提出最小极化差异、最大入射角范围和最大工作频率范围准则,基于这些准则对实际的C-夹层结构的电性能进行了遗传优化,并与基于最大功率透射系数和最小功率反射系数准则的结果进行了比较.所考虑的实际的C-夹层是一种14层结构,其中包括防雨涂层、胶膜、树脂过渡层等.采用页面存储技术建立每一层的材料库从而实现染色体中连续数值变量和离散非数值变量的混合编码.多目标优化通过基于约束条件的单目标优化算法实现.

Multi-objective optimization of electric performance of sandwich antenna radome wall using genetic algorithm

The criterions of minimum polarization difference, maximum incidence range and maximum frequency range are proposed, and the electric performances of actual C-sandwich are optimized with genetic algorithm (GA) based on these criterions, compared with those based on the criterions of maximum power transmission coefficient and minimum power reflection coefficient. The actual C-sandwich considered in this paper is a structure of 14 layers, in which the rainproof layer, adhesive layer and resin transition etc are included. The material database of each layer is set up in terms of page-layout storage technique to bring about the mix-coding of continuous numerical variables and discrete non-numerical variables in a chromosome. The multi-objective optimization is carried out by using single-objective optimization algorithm under restricting conditions.