太原理工大学学报Issue(4)：435-439,5.DOI:10.16355/j.cnki.issn1007-9432tyut.2015.04.014
改进的蚁群算法及其在微带天线设计中的应用
Genetic-Ant Colony Optimization Algorithm and Its Application to Design of Microstrip Antenna
摘要
Abstract
In view of the shortcoming of traditional Ant Colony Optimization Algorithm w hich is easy to fall into local optimum ,an improved algorithm is proposed in this paper ,named Genet‐ic‐Ant Colony Optimization algorithm .Through being embedded in genetic operation ,the diver‐sity of Feasible solution of the algorithm is increased ,so the global search ability is enhanced . The algorithm is combine with HFSS in continuous domain and applied to design of a U‐slot rec‐tangular microstrip antenna w hich has gained a dual band and a broad band antenna .In discrete domain ,the algorithm is applied to optimize a kind of Ultra‐Wideband Microstrip Antenna and gain a good performance .关键词
遗传蚁群算法/HFSS/U 槽矩形微带天线/超宽带微带天线Key words
genetic-ant colony optimization algorithm/HFSS/rectangular microstrip antenna with a U-slot/Ultra-Wideband microstrip antenna分类
信息技术与安全科学引用本文复制引用
..改进的蚁群算法及其在微带天线设计中的应用[J].太原理工大学学报,2015,(4):435-439,5.基金项目
山西省自然科学基金资助项目基于 PBG 结构的 MEMS 天线研究（No 2013011019-5；No 2012021030-1），微细加工光学技术国家重点实验室开放课题 （）
