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

Created by W.Langdon from gp-bibliography.bib Revision:1.3680

@Book{koza:book,
  author =       "John R. Koza",
  title =        "Genetic Programming: On the Programming of Computers
                 by Means of Natural Selection",
  year =         "1992",
  publisher =    "MIT Press",
  address =      "Cambridge, MA, USA",
  keywords =     "genetic algorithms, genetic programming, text book",
  ISBN =         "0-262-11170-5",
  URL =          "http://mitpress.mit.edu/books/genetic-programming",
  abstract =     "Overview

                 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.

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

                 Endorsements

                 The research reported in this book is a tour de force.
                 For the first time, since the idea was bandied about in
                 the 1940s and early 1950s, we have a non-trivial,
                 nontailored set of examples of automatic programming.
                 -- John Holland",
}

Genetic Programming entries for John Koza

Citations