Genetic Programming: An Introduction (The Morgan Kaufmann Series in Artificial Intelligence)

Banzhaf, Wolfgang; Nordin, Peter; Keller, Robert E.; Francone, Frank D.

ISBN 10: 155860510X / ISBN 13: 9781558605107

Published by Morgan Kaufmann, 1997

About this Item

Seller Inventory # BSM.VX39

Bibliographic Details

• Title: Genetic Programming: An Introduction (The Morgan Kaufmann Series in Artificial Intelligence)
• Publisher: Morgan Kaufmann
• Publication Date: 1997
• Language: English
• ISBN 10: 155860510X
• ISBN 13: 9781558605107
• Binding: Hardcover
• Condition: very_good

About this title

Synopsis

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.

From the Back Cover

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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

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.