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Average customer rating:

Nice, easy to understand book on Evolutionary Algorithms with lots of practical examples using Java
Different opinion
Don't be fooled by the pompous title !
Published by Springer?
Not what you would expect

Applied Evolutionary Algorithms in Java
Robert Ghanea-Hercock
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 0387955682

Book Description

Genetic algorithms provide a powerful range of methods for solving complex engineering search and optimization algorithms. Their power can also lead to difficulty for new researchers and students who wish to apply such evolution-based methods. "Applied Evolutionary Algorithms in Java" offers a practical, hands-on guide to applying such algorithms to engineering and scientific problems. The concepts are illustrated through clear examples, ranging from simple to more complex problems domains; all based on real-world industrial problems. Examples are taken from image processing, fuzzy-logic control systems, mobile robots, and telecommunication network optimization problems. The Java-based toolkit provides an easy-to-use and essential visual interface, with integrated graphing and analysis tools. Topics and features: *inclusion of a complete Java toolkit for exploring evolutionary algorithms *strong use of visualization techniques, to increase understanding *coverage of all major evolutionary algorithms in common usage *broad range of industrially based example applications *includes examples and an appendix based on fuzzy logic This book is intended for students, researchers, and professionals interested in using evolutionary algorithms in their work. No mathematics beyond basic algebra and Cartesian graphs methods are required, as the aim is to encourage applying the Java toolkit to develop the power of these techniques.

Customer Reviews:

Nice, easy to understand book on Evolutionary Algorithms with lots of practical examples using Java.......2007-06-04

Actually I disagree to most of the comments submitted by other reviewers - In my opinion this book is really great, especially for people who are new to the areas of Evolutionary Algrorithms and Programming and particulary looking for ways on how to apply these technologies in practical terms. There are not many books out there which are (1) easy to understand, (2) provide sufficient and "what-you-should-know" type of information about the discussed technologies and (3) application-oriented and practical rather than theoretical. This, in my opinion is very important as it allows the reader also to understand how e.g. GA's can be implemented. Also the use of JAVA language for the practical demonstration and examples are very handy since it is currently one of the most widely used and popular programming language.
I believe that this book is very suitable as a course material for students (like me) who are new to the areas of Evolutinary Algorithms. In addition, it provides a large survey of references and websites where evolutionary code is available.

Different opinion.......2005-05-07

I haven't read this book yet (hence the intermediate 3 stars rating), but I think people should know that, [...] See e.g. http://www.techbookreport.com/tbr0031.html

Don't be fooled by the pompous title !.......2004-05-24

I completely agree with the previous reviewers. In fact, I found their criticism rather light. On the back cover, the book is presented as an introductory book with pratical emphasis. Although the book is very easy to follow (reading it cover to cover takes about 2-3 hours), it's definitely not at an introductory level. It covers basic material on GA & GP without sufficient detail. Furthermore, the design of the book is terrible. The author has allocated 105 pages to bibliography and appendices (the book has 225 pages). Therefore, the core material occupies only 120 pages. Moreover, the 2 chapters about GA and GP are totally 30 pages long ! The remaining 90 pages are about some not-so-interesting applications and future directions in EC. The bibliography is not at the end of the book. This makes following the references rather frustrating.

I've read/browsed at least 10 books on GA/EC. This is definitely the worst one. I recommend Eiben & Smith's "Introduction to Evolutionary Computing" and Michalewicz & Fogel's "How to Solve It: Modern Heuristics" to everyone interested in GA/EC.

Published by Springer?.......2003-08-19

I only browsed the book but I perfectly agree with my friend from milano. Another one of those little useless trash marked with high price because they knew there would be few buyers. How can my favorite publisher Springer join this business? (John-Wiley seems to be the pioneer on this.)

Not what you would expect.......2003-06-09

Java being the choice language for enterprise no-bs concrete applications I was expecting a practical viewpoint and a hands-on approach in this book. It turns out this skimpy booklet is
more of a an extended paper, something like a thesis with no practical value ( and hence no value at all). It won't teach you neither GA algorithms nor how to use Java to code them. The Java
word was put in to fool buyers exploiting the Java marketing wave. The only java GA algorithm presented in this book is in appendix B.... can it get worse than this?

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