摘要
给出了一种基于高斯变异与自适应克隆规模控制相结合的免疫算法的天线方向图综合方法.该算法利用免疫算法的分散式和独立式的搜索方式,克服了遗传算法局部收敛和对初始群体依赖等缺陷;同时自适应的克隆算子和变异算子克服了搜索的盲目性,提高了算法的收敛速度.计算机仿真结果表明,提出的算法能够在方向图的指定区域生成多个零点,并且零陷均衡,相比遗传算法取得了更低的零深.
An adaptive immunity algorithm is presented, which uses both Gauss mutation and the adaptive clone scale control. The premature phenomenon is overcome effectively because of the diversity of gene colony which takes account of dispersal and indepeudence of this algorithm. And also adaptive clone operator and mutation operator overcome the blindness of searching, and raise the speed of this algorithm. Numerical results indicate that multi-nulls can be generated at the specified areas and the null defect is even. The null depth levels are lower than those obtained by genetic algorithm.
出处
《应用科技》
CAS
2006年第11期26-28,共3页
Applied Science and Technology
关键词
免疫算法
遗传算法
零点生成
方向图综合
immunity algorithm
genetic algorithm
null generation
pattern synthesis
