Publication

1999-05-15 - Morgan Kaufmann

Language

English

Word Count

288,500 words, Guess

Page Count

1,154 pages

Physical Format

Hardcover

Identifiers

and 3 more
  • Library of Congress Control Number99010099
  • Goodreads644118
  • LibraryThing323846

Classifications

  • LCCQA76.623 .K69 1999

Description

Genetic programming (GP) is a method for getting a computer to solve a problem by telling it what needs to be done instead of how to do it. Koza, Bennett, Andre, and Keane present genetically evolved solutions to dozens of problems of design, control, classification, system identification, and computational molecular biology. Among the solutions are 14 results competitive with human-produced results, including 10 rediscoveries of previously patented inventions.

First Sentence

One of the central challenges of computer science is to get a computer to solve a problem without explicitly programming it.

Subjects

Other Editions

  • Genetic Programming III: Darwinian Invention and Problem SolvingHardcoverMorgan Kaufmann1999-05-15

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