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Browse Journals & Magazines > Magnetics, IEEE Transactions ...> Volume:31 Issue:3 Help

Comparison between genetic and gradient-based optimization algorithms for solving electromagnetics problems

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1 Author(s)
Haupt, R. ; HQ USAFA/DFEE, USAF Acad., CO, USA

This paper compares the application of genetic algorithms and traditional gradient-based algorithms to various optimization problems in electromagnetics. Gradient algorithms work well for a small number of continuous parameters. Genetic algorithms are best for a large number of quantized parameters. Both antenna array and scattering optimization examples are shown

Published in:
Magnetics, IEEE Transactions on  (Volume:31 ,  Issue: 3 )

Date of Publication: May 1995

Page(s):
1932 - 1935
ISSN :
0018-9464
INSPEC Accession Number:
4953454
Digital Object Identifier :
10.1109/20.376418
Product Type:
Journals & Magazines
Date of Current Version :
06 August 2002
Issue Date :
May 1995
Sponsored by :
IEEE Magnetics Society

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