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This Book is in Good Condition. Clean Copy With Light Amount of Wear. 100% Guaranteed. Summary: An Introduction to Genetic Algorithms (J. Johnson & Y. Rahmat-Samii). Genetic Algorithms: Theory and Advanced Techniques (D. Weile & E. Michielssen). Rules of Thumb for GA Parameters, GA Monitoring, GA Parameter Optimization, and Enhancement of GA Efficiency (D. Linden). Thinned Arrays Using Genetic Algorithms (R. Haupt). Application of Genetic Algorithms and Simulated Annealing to Some Antenna Problems (F. Ares-Pena). Synthesis of Linear and Planar Arrays Using Genetic Algorithms (D. Marcano & F. Durn). Application of the Genetic Algorithm to Broadband Antenna Design (Z. Altman, et al.). Design of Wire Antennas Using Genetic Algorithms (E. Altshuler & D. Linden). Evolutionary Designs of Integrated Antennas Using Genetic Algorithms and Methods of Moments (GA/MoM) (J. Johnson & Y. Rahmat-Samii). Optimization and Synthesis of Various Printed Antennas (M. Himdi & J.-P. Daniel). The Application of Domain Decomposition Genetic Algorithms to Pseudostratified Electromagnetic Filtering Structures (D. Weile E. Michielssen). Designing Dielectric Grating Filters with PGAPACK (C. Zuffada, et al.). Genetic Algorithms for Electromagnetic Backscattering: Multiobjective Optimization (M.-O. Bristeau, et al.). Optimal Design of Magnetostatic Devices: The Genetic Algorithm Approach and System Optimization Strategies (O. Mohammed). Bibliography. Index. Buchnummer des Verkäufers

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Inhaltsangabe: 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.

About the Author: 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.

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Verlag: Wiley-Interscience (1999)
ISBN 10: 0471295450 ISBN 13: 9780471295457
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Buchbeschreibung Wiley-Interscience, 1999. Hardcover. Buchzustand: Good. Item may show signs of shelf wear. Pages may include limited notes and highlighting. Includes supplemental or companion materials if applicable. Access codes may or may not work. Connecting readers since 1972. Customer service is our top priority. Buchnummer des Verkäufers mon0000777300

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Buchbeschreibung John Wiley & Sons, 1999. Buchzustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. With usual stamps and markings, In good all round condition. No dust jacket. Buchnummer des Verkäufers 6266481

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Verlag: Wiley-Interscience 1999-07-23 (1999)
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Buchbeschreibung Wiley-Interscience 1999-07-23, 1999. Hardcover. Buchzustand: good. 0471295450. Buchnummer des Verkäufers 508003

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Rahmat-Samii, Yahya & Eric Michielssen
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Buchbeschreibung Wiley-Interscience, -, 1999. Hardcover. Buchzustand: Very Good. 9.50 X 6.40 X 1.20 inches used hardcover edition in illustrated boards, lacking a dust jacket, likely as issued. light shelfwear, corners perhaps mildly bumped. pages and binding are clean, straight, and tight. no marks to the text or other serious flaws. Buchnummer des Verkäufers 10000000116241

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Buchbeschreibung Wiley-Interscience, 1999. Hardcover. Buchzustand: Good. 1. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. Buy with confidence, excellent customer service!. Buchnummer des Verkäufers 0471295450

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Buchbeschreibung Wileyand#8211;Blackwell, 1999. HRD. Buchzustand: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Buchnummer des Verkäufers FW-9780471295457

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Buchbeschreibung John Wiley and Sons Ltd, United States, 1999. Hardback. Buchzustand: New. New.. Language: English . Brand New Book. 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. Buchnummer des Verkäufers AAH9780471295457

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Verlag: John Wiley and Sons Ltd, United States (1999)
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Buchbeschreibung John Wiley and Sons Ltd, United States, 1999. Hardback. Buchzustand: New. New.. Language: English . Brand New Book. 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. Buchnummer des Verkäufers AAH9780471295457

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Buchbeschreibung John Wiley & Sons, 2016. Paperback. Buchzustand: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Buchnummer des Verkäufers ria9780471295457_lsuk

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Buchbeschreibung Wileyand#8211;Blackwell, 1999. HRD. Buchzustand: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Buchnummer des Verkäufers IP-9780471295457

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