A new crossover technique for Cartesian genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4496

  author =       "Janet Clegg and James Alfred Walker and 
                 Julian Francis Miller",
  title =        "A new crossover technique for Cartesian genetic
  booktitle =    "GECCO '07: Proceedings of the 9th annual conference on
                 Genetic and evolutionary computation",
  year =         "2007",
  editor =       "Dirk Thierens and Hans-Georg Beyer and 
                 Josh Bongard and Jurgen Branke and John Andrew Clark and 
                 Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and 
                 Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and 
                 Julian F. Miller and Jason Moore and Frank Neumann and 
                 Martin Pelikan and Riccardo Poli and Kumara Sastry and 
                 Kenneth Owen Stanley and Thomas Stutzle and 
                 Richard A Watson and Ingo Wegener",
  volume =       "2",
  isbn13 =       "978-1-59593-697-4",
  pages =        "1580--1587",
  address =      "London",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p1580.pdf",
  DOI =          "doi:10.1145/1276958.1277276",
  publisher =    "ACM Press",
  publisher_address = "New York, NY, USA",
  month =        "7-11 " # jul,
  organisation = "ACM SIGEVO (formerly ISGEC)",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming, crossover techniques,
  abstract =     "Genetic Programming was first introduced by Koza using
                 tree representation together with a crossover technique
                 in which random sub-branches of the parents' trees are
                 swapped to create the offspring. Later Miller and
                 Thomson introduced Cartesian Genetic Programming, which
                 uses directed graphs as a representation to replace the
                 tree structures originally introduced by Koza.
                 Cartesian Genetic Programming has been shown to perform
                 better than the traditional Genetic Programming; but it
                 does not use crossover to create offspring, it is
                 implemented using mutation only. In this paper a new
                 crossover method in Genetic Programming is introduced.
                 The new technique is based on an adaptation of the
                 Cartesian Genetic Programming representation and is
                 tested on two simple regression problems. It is shown
                 that by implementing the new crossover technique,
                 convergence is faster than that of using mutation only
                 in the Cartesian Genetic Programming method.",
  notes =        "GECCO-2007 A joint meeting of the sixteenth
                 international conference on genetic algorithms
                 (ICGA-2007) and the twelfth annual genetic programming
                 conference (GP-2007).

                 ACM Order Number 910071",

Genetic Programming entries for Janet Clegg James Alfred Walker Julian F Miller