Investigation of simulated annealing, ant-colony optimization, and genetic algorithms for self-structuring antennas

被引：82

作者：

Coleman, CM

Rothwell, EJ ^{[1
]}

Ross, JE

机构：

[1] Michigan State Univ, Dept Elect & Comp Engn, E Lansing, MI 48824 USA

[2] John Ross & Associates, Salt Lake City, UT 84103 USA

来源：

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2004年 / 52卷 / 04期

关键词：

antennas; genetic algorithms; reconfigurable antennas; simulated annealing; simulation;

D O I：

10.1109/TAP.2004.825658

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：

A self-structuring antenna (SSA) is capable of arranging itself into a large number of configurations. Because the properties of the configurations are generally unknown at the onset of operation, efficient search algorithms are required to find suitable configurations for a given set of environmental and operational conditions. This paper investigates the use of ant-colony optimization, simulated annealing, and genetic algorithms for finding suitable antenna states. The implementation of each algorithm for SSA searches is described, and the performance of each algorithm is compared to a random search.

引用

页码：1007 / 1014

页数：8

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