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Genetic Programming

On the Programming of Computers by Means of Natural Selection

John R. Koza

$140

Paperback

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English
Bradford Books
11 December 1992
In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic programming may be more powerful than neural networks and other machine learning techniques, able to solve problems in a wider range of disciplines. In this ground-breaking book, John Koza shows how this remarkable paradigm works and provides substantial empirical evidence that solutions to a great variety of problems from many different fields can be found by genetically breeding populations of computer programs. Genetic Programming contains a great many worked examples and includes a sample computer code that will allow readers to run their own programs.

In getting computers to solve problems without being explicitly programmed, Koza stresses two points- that seemingly different problems from a variety of fields can be reformulated as problems of program induction, and that the recently developed genetic programming paradigm provides a way to search the space of possible computer programs for a highly fit individual computer program to solve the problems of program induction. Good programs are found by evolving them in a computer against a fitness measure instead of by sitting down and writing them.
By:  
Imprint:   Bradford Books
Country of Publication:   United States
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 51mm
ISBN:   9780262527910
ISBN 10:   026252791X
Series:   Genetic Programming
Pages:   836
Publication Date:  
Recommended Age:   From 18 years
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Inactive

John R. Koza is Consulting Associate Professor in the Computer Science Department at Stanford University.

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