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Genetic Algorithms in Electromagnetics

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Published by John Wiley & Sons, Ltd. in New York .
Written in English


Book details:

The Physical Object
FormateBook
ID Numbers
Open LibraryOL24308524M
ISBN 109780470106273

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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 3/5(1). Book Abstract: 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. tive function is the computer algorithm, analytical model, or experimental result that describes the performance of an electromagnetic system. This book focuses primarily on the optimization of these objective functions. Genetic algorithms (GAs) have proved to be tenacious in fi nding optimal results where traditional techniques fail. result that describes the performance of an electromagnetic system. This book focuses primarily on the optimization of these objective functions. Genetic algorithms (GAs) have proved to be tenacious in fi nding optimal results where traditional techniques fail. This book is an introduction to the use of GAs to optimizing electromagnetic systems.

Genetic Algorithms in Electromagnetics | Randy L. Haupt, Douglas H. Werner | download | B–OK. Download books for free. Find books. 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. An introduction to genetic algorithms for electromagnetics Abstract: This article is a tutorial on using genetic algorithms to optimize antenna and scattering patterns. Genetic algorithms are "global" numerical-optimization methods, patterned after the natural processes of genetic . In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection.

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 . Book. Genetic Algorithms in Electromagnetics. May ; DOI: Genetic Algorithms in Electromagnetics begins with an introduction to optimization and several commonly used numerical Author: Randy Haupt. Zusatztext A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systemsGenetic 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. Genetic Algorithms in Electromagnetics by Randy L.; Douglas H. Werner Haupt ISBN ISBN Hardcover; Wiley-IEEE Press; ISBN