Electromagnetic Optimization

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.

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 toelectromagnetic 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.

Booknews

Genetic algorithms (GAs) constitute an optimization methodology that allows a global search of a cost surface through stochastic processes that are modeled on the Darwinian evolutionary concept. In this collection of 14 papers, some of the key features of GAs are customized to facilitate the design of electromagnetic devices, and applied to the synthesis of various antennas, filters, and static devices. Among the topics are the application of GAs and simulated annealing to antenna problems, synthesis of linear and planar arrays using GAs, designing dielectric grating filters with PGAPACK, and GAs for multi-objective electromagnetic backscattering. Annotation c. Book News, Inc., Portland, OR (booknews.com)

YAHYA RAHMAT-SAMII, PhD, is Professor of Electrical Engineering at the University of California, Los Angeles. ERIC MICHIELSSEN, PhD, is a professor in the Department of Electrical and Computer Engineering at the University of lllinois at Urbana-Champaign.