Genetic algorithms in engineering electromagnetics

被引：523

作者：

Johnson, JM

RahmatSamii, Y

机构：

[1] Department of Electrical Engineering, Univ. of California, Los Angeles, Los Angeles, CA 90095-1594

[2] University of California, Irvine, CA

[3] Hughes Aircraft Company, Lockheed Missiles and Space, Deskin Research Group

[4] University of California, Los Angeles, CA

[5] Department of Electrical Engineering, Univ. of California, Los Angeles

[6] NASA's Jet Propulsion Laboratory, California Institute of Technology, UCLA

[7] University of Illinois, Urbana-Champaign, IL

[8] IEEE, IAE

[9] Commissions A, B, and J of USNC/URSI, AMTA, Sigma Xi

来源：

IEEE ANTENNAS AND PROPAGATION MAGAZINE | 1997年 / 39卷 / 04期

关键词：

genetic algorithms; absorbing media; antenna arrays; array synthesis; microstrip antennas; natural modes; radar target identification;

D O I：

10.1109/74.632992

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：

This paper presents a tutorial and overview of genetic algorithms for electromagnetic optimization. Genetic-algorithm (GA) optimizers are robust, stochastic search methods modelled on the concepts of natural selection and evolution. The relationship between traditional optimization techniques and the GA is discussed. Step-by-step implementation aspects of the GA are detailed, through an example with the objective of providing useful guidelines for the potential user. Extensive use is made of sidebars and graphical presentation to facilitate understanding. The tutorial is followed by a discussion of several electromagnetic applications in which the GA has proven useful. The applications discussed include the design of lightweight, broadband microwave absorbers, the reduction of array sidelobes in thinned arrays, the design of shaped-beam antenna arrays, the extraction of natural resonance modes of radar targets from backscattered response data, and the design of broadband patch antennas. Genetic-algorithm optimization is shown to be suitable for optimizing a broad class of problems of interest to the electromagnetic community. A comprehensive list of key references, organized by application category, is also provided.

引用

页码：7 / 25

页数：19

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