Antenna design with a mixed integer genetic algorithm

被引：93
作者：
Haupt, Randy L. [1 ]
机构：
[1] Penn State Univ, Appl Res Lab, State Coll, PA 16804 USA
来源：
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2007年 / 55卷 / 03期
关键词：
antenna arrays; genetic algorithms (GAS); microstrip antennas; optimization methods; phased arrays;
D O I：
10.1109/TAP.2007.891510
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Antenna design variables, such as size, have continuous values while others, such as permittivity, have a finite number of values. Having both variable types in one problem requires a mixed integer optimization algorithm. This paper describes a genetic algorithm (GA) that works with real and/or binary values in the same chromosome. The algorithm is demonstrated on designing low side-lobe phase tapers, circularly polarized patch antennas, and identically thinned subarrays.
引用
收藏
页码：577 / 582
页数：6
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