Genetic Programming

An Introduction

AvWolfgang Banzhaf,Peter Nordin

Inbunden, Engelska, 1998

Del i serien The Morgan Kaufmann Series in Artificial Intelligence

1 023 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:1998-02-24
Mått:175 x 245 x 32 mm
Vikt:990 g
Format:Inbunden
Språk:Engelska
Serie:The Morgan Kaufmann Series in Artificial Intelligence
Antal sidor:496
Förlag:Elsevier Science
ISBN:9781558605107

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Programvaruutveckling inom Data och IT

Mer om författaren

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

Recensioner i media

"[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

Innehållsförteckning

1 Genetic Programming as Machine Learning2 Genetic Programming and Biology3 Computer Science and Mathematical Basics4 Genetic Programming as Evolutionary Computation5 Basic Concepts—The Foundation6 Crossover—The Center of the Storm7 Genetic Programming and Emergent Order8 Analysis—Improving Genetic Programming with Statistics9 Different Varieties of Genetic Programming10 Advanced Genetic Programming11 Implementation—Making Genetic Programming Work12 Applications of Genetic Programming13 Summary and PerspectivesA Printed and Recorded ResourcesB Information Available on the InternetC GP Software D Events

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