Lexicographic Parsimony Pressure

Created by W.Langdon from gp-bibliography.bib Revision:1.4472

  author =       "Sean Luke and Liviu Panait",
  title =        "Lexicographic Parsimony Pressure",
  booktitle =    "GECCO 2002: Proceedings of the Genetic and
                 Evolutionary Computation Conference",
  editor =       "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and 
                 R. Roy and D. Davis and R. Poli and K. Balakrishnan and 
                 V. Honavar and G. Rudolph and J. Wegener and 
                 L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and 
                 E. Burke and N. Jonoska",
  year =         "2002",
  pages =        "829--836",
  address =      "New York",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "9-13 " # jul,
  publisher =    "Morgan Kaufmann Publishers",
  keywords =     "genetic algorithms, genetic programming, bloat,
                 parsimony pressure",
  ISBN =         "1-55860-878-8",
  URL =          "http://cs.gmu.edu/~sean/papers/lexicographic.pdf",
  URL =          "http://cs.gmu.edu/~sean/papers/lexicographic.ps.gz",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco2002/GP157.pdf",
  URL =          "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-14.pdf",
  URL =          "http://citeseer.ist.psu.edu/535375.html",
  abstract =     "We introduce a technique called lexicographic
                 parsimony pressure, for controlling the significant
                 growth of genetic programming trees during the course
                 of an evolutionary computation run. Lexicographic
                 parsimony pressure modifies selection to prefer smaller
                 trees only when fitnesses are equal (or equal in rank).
                 This technique is simple to implement and is not
                 affected by specific differences in fitness values, but
                 only by their relative ranking. In two experiments we
                 show that lexicographic parsimony pressure reduces tree
                 size while maintaining good fitness values,
                 particularly when coupled with Koza-style maximum tree
                 depth limits.",
  notes =        "GECCO-2002. A joint meeting of the eleventh
                 International Conference on Genetic Algorithms
                 (ICGA-2002) and the seventh Annual Genetic Programming
                 Conference (GP-2002)",

Genetic Programming entries for Sean Luke Liviu Panait