Band 1
Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
31.03.2007
Verlag
John Wiley & Sons IncSeitenzahl
288 (Printausgabe)
Dateigröße
12414 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9780470106273
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
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
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