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Applied Evolutionary Algorithms in Java [Anglais] [Relié]

Robert Ghanea-Hercock

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Applied Evolutionary Algorithms in Java Useful for students, researchers, and professionals interested in evolutionary algorithms at graduate and postgraduate level. This book requires no mathematics beyond basic algebra and Cartesian graphs methods, as the aim is to encourage applying the JAVA toolkit to develop an appreciation of the power of these techniques. Full description

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Dans ce livre (En savoir plus)
Première phrase
Evolution is a ubiquitous natural force that has shaped all life on Earth for approximately 3.2 billion years. Lire la première page
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Concordance
Parcourir les pages échantillon
Couverture | Copyright | Table des matières | Extrait | Index | Quatrième de couverture
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Amazon.com: 2.8 étoiles sur 5  6 commentaires
15 internautes sur 15 ont trouvé ce commentaire utile 
1.0 étoiles sur 5 Not what you would expect 8 juin 2003
Par Riccardo Audano - Publié sur Amazon.com
Format:Relié|Achat vérifié
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?
10 internautes sur 10 ont trouvé ce commentaire utile 
1.0 étoiles sur 5 Don't be fooled by the pompous title ! 24 mai 2004
Par Emre Celebi - Publié sur Amazon.com
Format:Relié
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.
3 internautes sur 3 ont trouvé ce commentaire utile 
3.0 étoiles sur 5 Mitigated 29 mai 2003
Par Steve Uhlig - Publié sur Amazon.com
Format:Relié
i'm not sure this book is a good idea to start with evolutionary algorithms. The treatment it provides is certainly of an acceptable level, but it is too short to provide a deep understanding of how genetic algorithms work. If you want to understand how GAs work, Goldberg is THE place where to start. The code there is in Pascal, but frankly i don't see the advantage of Java for coding evolutionary algorithms for the first time. Maybe only after one has mastered the internals of genetic algorithms one can go to Java for advanced evolutionary algorithms for more complex tasks. One has first to understand well how data structures and operators work with a rather low-level language (C or C++), and then use Java for higher-level algorithms.
So although the content of this book is not bad at all, i'm not sure it's well-suited for newcomers, and for advanced people the material is too simple for bringing something new. The only contribution of this book from my viewpoint is the large number of websites where evolutionary code is available.
4.0 étoiles sur 5 Its a good book 30 décembre 2012
Par diego - Publié sur Amazon.com
Format:Relié|Achat vérifié
I think that is a book that explains everything clearly. Ideal for beginners but I was hoping more explanation of the Java code.
0 internautes sur 2 ont trouvé ce commentaire utile 
5.0 étoiles sur 5 Nice, easy to understand book on Evolutionary Algorithms with lots of practical examples using Java 4 juin 2007
Par H. Duman - Publié sur Amazon.com
Format:Relié
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.
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