Genetic Programming II: Automatic Discovery of Reusable Programs

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Book{koza:gp2,
  author =       "John R. Koza",
  title =        "Genetic Programming II: Automatic Discovery of
                 Reusable Programs",
  publisher =    "MIT Press",
  year =         "1994",
  address =      "Cambridge Massachusetts",
  month =        may,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.org/gpbook2toc.html",
  broken =       "http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&tid=8307",
  ISBN =         "0-262-11189-6",
  abstract =     "Genetic Programming II extends the results of John
                 Koza's ground-breaking work on programming by means of
                 natural selection, described in his first book, Genetic
                 Programming. Using a hierarchical approach, Koza shows
                 that complex problems can be solved by breaking them
                 down into smaller, simpler problems using the recently
                 developed technique of automatic function definition in
                 the context of genetic programming.

                 Where conventional techniques of machine learning and
                 artificial intelligence fail to provide an effective
                 means for automatically handling the process of
                 decomposing complex problems into smaller subsets,
                 reassembling the solutions to these subsets, and
                 applying an overall solution to the original problem,
                 automatic function definition enables genetic
                 programming to define useful and reusable subroutines
                 dynamically. Koza illustrates this new technique by
                 showing how it solves (or approximately solves) a
                 variety of problems in Boolean function learning,
                 symbolic regression, control, pattern recognition,
                 robotics, classification, and molecular biology.

                 In each example, the problem is automatically
                 decomposed into subproblems; the subproblems are
                 automatically solved; and the solutions to the
                 subproblems are automatically assembled into a solution
                 to the original problem. Koza shows that leverage
                 accrues because genetic programming with automatic
                 function definition repeatedly uses the solutions to
                 the subproblems in the assembly of the solution to the
                 overall problem. Moreover, genetic programming with
                 automatic function definition produces solutions that
                 are simpler and smaller than the solution obtained
                 without automatic function definition.",
  size =         "746 pages",
}

Genetic Programming entries for John Koza

Citations