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Electromagnetic Optimization by Genetic Algorithms (Wiley Series in Microwave and Optical Engineering)

Electromagnetic Optimization by Genetic Algorithms (Wiley Series in Microwave and Optical Engineering)

List Price: $120.00
Your Price: $110.55
Product Info Reviews

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Rating: 5 stars
Summary: Great Book - Agree With Other Reviews
Review: This book does live up to the expectations I had. The first three chapters are a very solid introduction to genetic algorithms. It also goes into variations that lets one overcome some of the 'stagnation' that can occur in GAs.

The rest of the book does dive into applying GAs to EM applications. They have a very good introduction of the motivation, problems encountered and how it was resolved. No code is available, but many have already written GAs in many programming languages.

Book assumes some knowledge in math (~calculus) and electrical engineering (my background is in physics, but it didn't handicap me). A must for anyone interested in EM design while integrating GAs or for anyone interested in applying GAs to their engineering problems.

Rating: 4 stars
Summary: A Good Resource
Review: This book is well worth the price I paid for it.

It is a good book for engineers looking for practical information on genetic algorithms. The book assumes familiarity with electromagnetic theory, practical problems, and current simulation techniques.

The first three introductory chapters are solid, and universally applicable. They are a beginning overview of genetic algorithms, a more serious treatment describing pitfalls and variant techniques, and finally some rules of thumb for using the techniques.

The following chapters are detailed treatments of the application of genetic algorithms to real problems. Seven chapters are devoted to various types of antennas and antenna arrays. Additional chapters cover specific devices, such as electromagnetic filters, diffraction gratings, backscattering problems and magnetostatic devices.

This book will not teach you how to write genetic algorithm codes line by line. This book will not go into extreme depths about the theoretical limits and performance of genetic algorithms (where given, these details are not derived, simply given and explained.) There are any number of computer science and programming books which do that.

This is an engineering book: it will give many implementation details on practical problems, along with the results.


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