Efficient Phenotype Evaluation in Cartesian Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{vasicek:2012:EuroGP,
  author =       "Zdenek Vasicek and Karel Slany",
  title =        "Efficient Phenotype Evaluation in Cartesian Genetic
                 Programming",
  booktitle =    "Proceedings of the 15th European Conference on Genetic
                 Programming, EuroGP 2012",
  year =         "2012",
  month =        "11-13 " # apr,
  editor =       "Alberto Moraglio and Sara Silva and 
                 Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
  series =       "LNCS",
  volume =       "7244",
  publisher =    "Springer Verlag",
  address =      "Malaga, Spain",
  pages =        "266--278",
  organisation = "EvoStar",
  isbn13 =       "978-3-642-29138-8",
  DOI =          "doi:10.1007/978-3-642-29139-5_23",
  keywords =     "genetic algorithms, genetic programming, cartesian
                 genetic programming, Fitness evaluation, Acceleration,
                 Symbolic regression",
  abstract =     "This paper describes an efficient acceleration
                 technique designed to speedup the evaluation of
                 candidate solutions in Cartesian Genetic Programming
                 (CGP). The method is based on translation of the CGP
                 phenotype to a binary machine code that is consequently
                 executed. The key feature of the presented approach is
                 that the introduction of the translation mechanism into
                 common fitness evaluation procedure requires only
                 marginal knowledge of target CPU instruction set. The
                 proposed acceleration technique is evaluated using a
                 symbolic regression problem in floating point domain.
                 It is shown that for a cost of small changes in a
                 common CGP implementation, a significant speedup can be
                 obtained even on a common desktop CPU. The accelerated
                 version of CGP implementation accompanied with
                 performance analysis is available for free download
                 from http://www.fit.vutbr.cz/~vasicek/cgp",
  notes =        "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in
                 conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012
                 and EvoApplications2012",
}

Genetic Programming entries for Zdenek Vasicek Karel Slany

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