Genetic Programming. On the Programming of Computers by Means of Natural Selection

Koza, John R.

ISBN 10: 0262111705 / ISBN 13: 9780262111706

Published by A Bradford Book / The MIT Press, 1992

About this Item

840 pp., Hardcover, fine in a very good dust jacket. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1314047

Bibliographic Details

Title: Genetic Programming. On the Programming of ...

Publisher: A Bradford Book / The MIT Press

Publication Date: 1992

Binding: Hardcover

Condition: Fine

About this title

Synopsis:

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.

From the Back Cover:

Genetic programming may be more powerful than neural networks and other machine learning techniques; it may be able to solve problems in a wider range of disciplines. In this groundbreaking book, the author 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.