Genetic Programming: Biologically Inspired Computation that Creatively Solves Non-Trivial Problems

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{koza:1999:DIMACS,
  author =       "John R. Koza and Forrest H {Bennett III} and 
                 David Andre and Martin A. Keane",
  title =        "Genetic Programming: Biologically Inspired Computation
                 that Creatively Solves Non-Trivial Problems",
  booktitle =    "Evolution as Computation, DIMACS Workshop, Princeton,
                 January 1999",
  year =         "2001",
  editor =       "Laura F. Landweber and Erik Winfree",
  series =       "Natural Computing Series",
  pages =        "95--124",
  address =      "Princeton University",
  month =        "11-12 " # jan,
  publisher =    "Springer-Verlag",
  email =        "john@johnkoza.com",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-66709-1",
  URL =          "http://www.genetic-programming.com/jkpdf/eac2001chapter.pdf",
  URL =          "http://citeseer.ist.psu.edu/472804.html",
  size =         "30 pages",
  abstract =     "This paper describes a biologically inspired
                 domain-independent technique, called genetic
                 programming, that automatically creates computer
                 programs to solve problems. Starting with a primordial
                 ooze of thousands of randomly created computer
                 programs, genetic programming progressively breeds a
                 population of computer programs over a series of
                 generations using the Darwinian principle of natural
                 selection, recombination (crossover), mutation, gene
                 duplication, gene deletion, and certain mechanisms of
                 developmental biology. The technique is illustrated by
                 applying it to a non-trivial problem involving the
                 automatic synthesis (design) of a lowpass filter
                 circuit. The evolved results are competitive with
                 human-produced solutions to the problem. In fact, four
                 of the automatically created circuits exhibit
                 human-level creativity and inventiveness, as evidenced
                 by the fact that they correspond to four inventions
                 that were patented between 1917 and 1936",
  notes =        "

                 http://dimacs.rutgers.edu/Workshops/Evolution/

                 Published Jan 2001
                 http://www.amazon.com/exec/obidos/ASIN/3540667091/dominantsystems/107-7663466-9560554

                 see also \cite{koza:2001:CES}",
}

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