Meander Line Antenna Design Using an Adaptive Genetic Algorithm
Meander Line Antenna Design Using an Adaptive Genetic Algorithm
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DOI：
10.1109/tmag.2013.2239979
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发表时间：
2013-05-01
影响因子：
2.1
通讯作者：
Igarashi, Hajime
中科院分区：
文献类型：
--
作者：
Sato, Yuki;Campelo, Felipe;Igarashi, Hajime
利用自适应遗传算法对曲折线天线有限元模型进行了优化。为了搜索最优的天线配置，本方法使用具有自适应方法的遗传算法，该自适应方法调整其选择、交叉和变异算子的特性，以便在其执行期间保持不同的高质量候选解集合。结果表明，该方法比传统的遗传算法能更快地找到最优解。而且，该方法得到的最优解的适应值比传统遗传算法的要好。
This paper presents the optimization of a meander line antenna finite-element model by means of an adaptive genetic algorithm (GA). To search for optimal antenna configurations, the present method employs a GA with an adaptive method that adjusts the characteristics of its selection, crossover, and mutation operators in order to maintain a diverse set of high-quality candidate solutions during its execution. It is shown that the present method can find an optimal solution faster than the conventional GA. Moreover, the fitness values of the optimal solutions obtained by the present method are better than those obtained by conventional GA.