Since the early 1990s, genetic programming (GP) - a discipline whose goal is to enable the automatic generation of computer programs - has emerged as one of the most promising paradigms for fast, productive software development. GP combines biological metaphors gleaned from Darwin's theory of evolution with computer-science approaches drawn from the field of machine learning to create programs that are capable of adapting or recreating themselves for open-ended tasks. This unique introduction to GP provides a detailed overview of the subject and its antecedents, with extensive references to the published and online literature. In addition to explaining the fundamental theory and important algorithms, the text includes practical discussions covering a wealth of potential applications and real-world implementation techniques. Software professionals needing to understand and apply GP concepts will find this book an invaluable practical and theoretical guide.
Genetic Programming
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"[The authors] have performed a remarkable double service with this excellent book on genetic programming. First, they give an up-to-date view of the rapidly growing field of automatic creation of computer programs by means of evolution and, second, they bring together their own innovative and formidable work on evolution of assembly language machine code and linear genomes." --John R. Koza
About the Author
By Wolfgang Banzhaf, Peter Nordin, Robert E. Keller and Frank D. Francone
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Automatic programming will be one of the most important areas of computer science research over the next twenty years. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Automatic programming will be one of the most important areas of computer science research over the next twenty years. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most Helpful Customer Reviews
7 of 8 people found the following review helpful
By A Customer
Format:Hardcover
For those wishing a complete introduction to the field of Genetic Programming, this is an essential purchase.
It is targetted at users without a computing science background and is structured to allow readers to be selective as to which chapters to read, according to their background (although I would advise reading all chapters).
Of particular use is a chapter covering the biological foundation of GP (a subject barely covered in most texts), and the fact that this is a text book (ie it is written in a style that is far easier to read and understand than Koza).
Add to this the fact that it also covers developments in the field up to c1996 and a good list of GP resources. Excellent.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
4.4 out of 5 stars
10 reviews
12 of 12 people found the following review helpful
5.0 out of 5 stars
A great introduction!
19 Nov 2000
By Paul Zimmons
- Published on Amazon.com
Format:Hardcover
This book is a great introduction to genetic programming and should be a model for textbook authors in other fields. Knowing little about genetic programming to begin with, this book guides the reader through the various topics and problems associated with genetic programming in a very logical and understandable way. Highly recommended! I wish more technical books were like this!
31 of 38 people found the following review helpful
5.0 out of 5 stars
Great Book. It is an original book -- not edited.
2 May 1998
By fdf
- Published on Amazon.com
Format:Hardcover
I am one of the authors, so I will let others do the reviewing. We have spent some time trying to get Amazon.com to remove the "editor" title from Dr. Banzhaf's name because this is NOT an edited volume. It is an entirely original work.
Alas, to no avail.
We spent three years on this book and are very pleased with the results. The reactions we have received from the professionals in the GP community have been much more than we had hoped for. We hope you enjoy it.
Frank Francone
10 of 11 people found the following review helpful
5.0 out of 5 stars
Excellent, comprehensive and easy to read.
29 Jan 2002
By Steven Burns
- Published on Amazon.com
Format:Hardcover|Amazon Verified Purchase
We all know that kind of books where the author likes to show how much he knows making things intentionally complex....well...this is the opposite side of the spectrum.
The book is very complete and detailed yet easy to read, even after a day of work.
The first part of the book contains introductory information on background areas like probability, biology and computer science as a general discipline.
Getting into the topic, it clarifies some of the differences between evolutionary systems and genetic algorithms and shows how all this contributes to the theory of genetic programming and the evolution of computer programs.
It explains how things are done with different types of individuals (tree, linear, graph, etc) and gives valuable insight about the implementation process.
Although you may need other sources for formal treatment of some topics, this book is a very good acquisition.
The book is very complete and detailed yet easy to read, even after a day of work.
The first part of the book contains introductory information on background areas like probability, biology and computer science as a general discipline.
Getting into the topic, it clarifies some of the differences between evolutionary systems and genetic algorithms and shows how all this contributes to the theory of genetic programming and the evolution of computer programs.
It explains how things are done with different types of individuals (tree, linear, graph, etc) and gives valuable insight about the implementation process.
Although you may need other sources for formal treatment of some topics, this book is a very good acquisition.
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