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Genetic Algorithms in Electromagnetics

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Éditeur :

Wiley-IEEE Press


Collection :

IEEE Press

Paru le : 2007-04-27

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Description
A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems
Genetic Algorithms in Electromagnetics focuses on optimizing the objective function when a computer algorithm, analytical model, or experimental result describes the performance of an electromagnetic system. It offers expert guidance to optimizing electromagnetic systems using genetic algorithms (GA), which have proven to be tenacious in finding optimal results where traditional techniques fail.
Genetic Algorithms in Electromagnetics begins with an introduction to optimization and several commonly used numerical optimization routines, and goes on to feature: Introductions to GA in both binary and continuous variable forms, complete with examples of MATLAB(r) commands Two step-by-step examples of optimizing antenna arrays as well as a comprehensive overview of applications of GA to antenna array design problems Coverage of GA as an adaptive algorithm, including adaptive and smart arrays as well as adaptive reflectors and crossed dipoles Explanations of the optimization of several different wire antennas, starting with the famous "crooked monopole" How to optimize horn, reflector, and microstrip patch antennas, which require significantly more computing power than wire antennas Coverage of GA optimization of scattering, including scattering from frequency selective surfaces and electromagnetic band gap materials Ideas on operator and parameter selection for a GA Detailed explanations of particle swarm optimization and multiple objective optimization An appendix of MATLAB code for experimentation
Pages
320 pages
Collection
IEEE Press
Parution
2007-04-27
Marque
Wiley-IEEE Press
EAN papier
9780471488897
EAN PDF
9780470106273

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
320
Taille du fichier
12411 Ko
Prix
153,98 €