Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{vanneschi:2003:gecco,
  author =       "Leonardo Vanneschi and Marco Tomassini and 
                 Manuel Clergue and Philippe Collard",
  title =        "Difficulty of Unimodal and Multimodal Landscapes in
                 Genetic Programming",
  booktitle =    "Genetic and Evolutionary Computation -- GECCO-2003",
  editor =       "E. Cant{\'u}-Paz and J. A. Foster and K. Deb and 
                 D. Davis and R. Roy and U.-M. O'Reilly and H.-G. Beyer and 
                 R. Standish and G. Kendall and S. Wilson and 
                 M. Harman and J. Wegener and D. Dasgupta and M. A. Potter and 
                 A. C. Schultz and K. Dowsland and N. Jonoska and 
                 J. Miller",
  year =         "2003",
  pages =        "1788--1799",
  address =      "Chicago",
  publisher_address = "Berlin",
  month =        "12-16 " # jul,
  volume =       "2724",
  series =       "LNCS",
  ISBN =         "3-540-40603-4",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1007/3-540-45110-2_70",
  abstract =     "Fitness distance correlation as a measure of problem
                 difficulty in genetic programming. A new definition of
                 distance, called structural distance, is used and
                 suitable mutation operators for the program space are
                 defined. The difficulty is studied for a number of
                 problems, including, for the first time in GP,
                 multimodal ones, both for the new hand-tailored
                 mutation operators and standard crossover. Results are
                 in agreement with empirical observations, thus
                 confirming that fitness distance correlation can be
                 considered a reasonable index of difficulty for genetic
                 programming, at least for the set of problems studied
                 here.",
  notes =        "GECCO-2003. A joint meeting of the twelfth
                 International Conference on Genetic Algorithms
                 (ICGA-2003) and the eighth Annual Genetic Programming
                 Conference (GP-2003)",
}

Genetic Programming entries for Leonardo Vanneschi Marco Tomassini Manuel Clergue Philippe Collard

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