Genetic Programming 3: Darwinian Invention and Problem Solving

Created by W.Langdon from gp-bibliography.bib Revision:1.2458

@Book{koza:gp3,
  author =       "John R. Koza and David Andre and 
                 Forrest H {Bennett III} and Martin Keane",
  title =        "Genetic Programming 3: {Darwinian} Invention and
                 Problem Solving",
  publisher =    "Morgan Kaufman",
  year =         "1999",
  month =        apr,
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "1-55860-543-6",
  URL =          "http://www.genetic-programming.org/gpbook3toc.html",
  URL =          "http://www.amazon.com/exec/obidos/ASIN/1558605436/geneticprogrammi",
  notes =        "Genetic programming 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. The authors present
                 genetically evolved solutions to dozens of problems of
                 design, optimal control, classification, system
                 identification, function learning, and computational
                 molecular biology. Among the solutions are 14 results
                 competitive with human-produced results, including 10
                 rediscoveries of previously patented
                 inventions.

                 Researchers in artificial intelligence, machine
                 learning, evolutionary computation, and genetic
                 algorithms will find this an essential reference to the
                 most recent and most important results in the rapidly
                 growing field of genetic programming.

                 FEATURES

                 -- Explains how the success of genetic programming
                 arises from seven fundamental differences
                 distinguishing it from conventional approaches to
                 artificial intelligence and machine learning

                 -- Describes how genetic programming uses
                 architecture-altering operations to make on-the-fly
                 decisions on whether to use subroutines, loops,
                 recursions, and memory

                 -- Demonstrates that genetic programming possesses 16
                 attributes that can reasonably be expected of a system
                 for automatically creating computer programs

                 -- Presents the general-purpose Genetic Programming
                 Problem Solver

                 -- Includes an introduction to genetic programming for
                 the uninitiated

                 CONTENTS

                 Introduction -- Background -- Architecture-Altering
                 Operations -- Genetic Programming Problem Solver (GPPS)
                 -- Automated Synthesis of Analog Electrical Circuits --
                 Evolvable Hardware -- Discovery of Cellular Automata
                 Rules -- Discovery of Motifs and Programmatic Motifs
                 for Molecular Biology -- Parallelization and
                 Implementation Issues -- Conclusion",
  size =         "1100 pages",
}

Genetic Programming entries for John Koza David Andre Forrest Bennett Martin A Keane