Genetic Programming: On the Programming of Computers by Means of Natural Selection (Complex Adaptive Systems)

Koza, John R.

ISBN 10: 0262111705 ISBN 13: 9780262111706

Editorial: A Bradford Book, 1992

Idioma: Ingl�s

Condici�n: Usado - Aceptable Encuadernaci�n de tapa dura

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Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

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Detalles bibliogr�ficos

T�tulo

Genetic Programming: On the Programming of Computers by Means of Natural Selection (Complex Adaptive Systems)

Editor

A Bradford Book

Fecha de publicaci�n

1992

Idioma

Ingl�s

ISBN 10

0262111705

ISBN 13

9780262111706

Encuadernaci�n

Encuadernaci�n de tapa dura

Estado

Good

Cat�logos de vendedores

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Sinopsis

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.

Acerca del autor

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

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