AN INTRODUCTION TO GENETIC ALGORITHMS FOR ELECTROMAGNETICS

被引：526

作者：

HAUPT, RL

机构：

[1] Department of Electrical Engineering, US Air Force Academy/DFEE, CO 80840-6236, 2354 Fairchild Drive

来源：

IEEE ANTENNAS AND PROPAGATION MAGAZINE | 1995年 / 37卷 / 02期

关键词：

D O I：

10.1109/74.382334

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 article is a tutorial on using genetic algorithms to optimize antenna and scattering patterns. Genetic algorithms are ''global'' numerical-optimization methods, patterned after the natural processes of genetic recombination and evolution. The algorithms encode each parameter into binary sequences, called a gene, and a set of genes is a chromosome. These chromosomes undergo natural selection, mating, and mutation, to arrive at the final optimal solution. After providing a detailed explanation of how a genetic algorithm works, and a listing of a MATLAB code, the article presents three examples. These examples demonstrate how to optimize antenna patterns and backscattering radar-cross-section patterns. Finally, additional details about algorithm design are given.

引用

页码：7 / 15

页数：9

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