[关键词]
[摘要]
对自适应遗传算法中交叉概率和变异概率动态调整规则进行改进,并结合基于适应度值的截断选择法,提出了改进 的自适应遗传算法。将该算法应用于反向天线阵的稀疏设计,以阵元位置为优化参量,在保持反向性能的基础上,优化得 到了合适的稀疏反向天线阵结构,有效地精简了阵列结构,结果优于现有文献中对稀疏反向天线阵的综合结果。
[Key word]
[Abstract]
An improved adaptive genetic algorithm is presented in this paper. It primarily includes two modified measures, one is a novel adaptive probabilities of crossover and mutation, the other is truncated selection method based on individual's fitness. Then this algorithm is applied to optimizing thinned retrodirective array. The directions of each element are taken as variables for optimization. After optimization, sparse retrodirective array keeps excellent retrodirectivity, simplifies the array structure effectively. Result shows that the optimized array precedes the results shown by the existing related literatures.
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