Stock Photo: Cover May Be Different
Electromagnetic Optimization by Genetic Algorithms (Wiley Series in Microwave and Optical Engineering) Hardcover - 1999 - 1st Edition
by Rahmat-Samii, Yahya (Editor)/ Michielssen, Eric (Editor)
- New
- Hardcover
Description
New
NZ$450.89
NZ$21.00
Shipping to USA
Standard delivery: 14 to 21 days
More Shipping Options
Standard delivery: 14 to 21 days
Ships from Revaluation Books (Devon, United Kingdom)
Details
- Title Electromagnetic Optimization by Genetic Algorithms (Wiley Series in Microwave and Optical Engineering)
- Author Rahmat-Samii, Yahya (Editor)/ Michielssen, Eric (Editor)
- Binding Hardcover
- Edition number 1st
- Edition 1
- Condition New
- Pages 512
- Volumes 1
- Language ENG
- Publisher Wiley-Interscience, -
- Date 1999
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # x-0471295450
- ISBN 9780471295457 / 0471295450
- Weight 1.78 lbs (0.81 kg)
- Dimensions 9.5 x 6.4 x 1.2 in (24.13 x 16.26 x 3.05 cm)
- Library of Congress subjects Mathematical optimization - Data processing, Genetic programming (Computer science)
- Library of Congress Catalog Number 98-38414
- Dewey Decimal Code 621.381
About Revaluation Books Devon, United Kingdom
Biblio member since 2020
General bookseller of both fiction and non-fiction.
From the rear cover
Authoritative coverage of a revolutionary technique for overcoming problems in electromagnetic design Genetic algorithms are stochastic search procedures modeled on the Darwinian concepts of natural selection and evolution. The machinery of genetic algorithms utilizes an optimization methodology that allows a global search of the cost surface via statistical random processes dictated by the Darwinian evolutionary concept. These easily programmed and readily implemented procedures robustly locate extrema of highly multimodal functions and therefore are particularly well suited to finding solutions to a broad range of electromagnetic optimization problems. Electromagnetic Optimization by Genetic Algorithms is the first book devoted exclusively to the application of genetic algorithms to electromagnetic device design. Compiled by two highly competent and well-respected members of the electromagnetics community, this book describes numerous applications of genetic algorithms to the design and optimization of various low- and high-frequency electromagnetic components. Special features include:
* Introduction by David E. Goldberg, "A Meditation on the Application of Genetic Algorithms"
* Design of linear and planar arrays using genetic algorithms
* Application of genetic algorithms to the design of broadband, wire, and integrated antennas
* Genetic algorithm-driven design of dielectric gratings and frequency-selective surfaces
* Synthesis of magnetostatic devices using genetic algorithms
* Application of genetic algorithms to multiobjective electromagnetic backscattering optimization
* A comprehensive list of the up-to-date references applicable to electromagnetic design problems
Supplemented with more than 250 illustrations, Electromagnetic Optimization by Genetic Algorithms is a powerful resource for electrical engineers interested in modern electromagnetic designs and an indispensable reference for university researchers.
* Introduction by David E. Goldberg, "A Meditation on the Application of Genetic Algorithms"
* Design of linear and planar arrays using genetic algorithms
* Application of genetic algorithms to the design of broadband, wire, and integrated antennas
* Genetic algorithm-driven design of dielectric gratings and frequency-selective surfaces
* Synthesis of magnetostatic devices using genetic algorithms
* Application of genetic algorithms to multiobjective electromagnetic backscattering optimization
* A comprehensive list of the up-to-date references applicable to electromagnetic design problems
Supplemented with more than 250 illustrations, Electromagnetic Optimization by Genetic Algorithms is a powerful resource for electrical engineers interested in modern electromagnetic designs and an indispensable reference for university researchers.
