A Linear Estimation-of-Distribution GP System

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@InProceedings{poli08:_linear_estim_distr_gp_system,
  title =        "A Linear Estimation-of-Distribution {GP} System",
  author =       "Riccardo Poli and Nicholas Freitag McPhee",
  bibdate =      "2008-04-15",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/eurogp/eurogp2008.html#PoliM08",
  booktitle =    "Proceedings of the 11th European Conference on Genetic
                 Programming, EuroGP 2008",
  address =      "Naples",
  month =        "26-28 " # mar,
  publisher =    "Springer",
  year =         "2008",
  volume =       "4971",
  editor =       "Michael O'Neill and Leonardo Vanneschi and 
                 Steven Gustafson and Anna Isabel {Esparcia Alcazar} and 
                 Ivanoe {De Falco} and Antonio {Della Cioppa} and 
                 Ernesto Tarantino",
  isbn13 =       "978-3-540-78670-2",
  pages =        "206--217",
  series =       "Lecture Notes in Computer Science",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1007/978-3-540-78671-9_18",
  abstract =     "We present N-gram GP, an estimation of distribution
                 algorithm for the evolution of linear computer
                 programs. The algorithm learns and samples a joint
                 probability distribution of triplets of instructions
                 (or 3-grams) at the same time as it is learning and
                 sampling a program length distribution. We have tested
                 N-gram GP on symbolic regressions problems where the
                 target function is a polynomial of up to degree 12 and
                 lawn-mower problems with lawn sizes of up to 12x12.
                 Results show that the algorithm is effective and scales
                 better on these problems than either linear GP or
                 simple stochastic hill-climbing.",
  notes =        "Also known as \cite{conf/eurogp/PoliM08}

                 Part of \cite{conf/eurogp/2008} EuroGP'2008 held in
                 conjunction with EvoCOP2008, EvoBIO2008 and
                 EvoWorkshops2008",
}

Genetic Programming entries for Riccardo Poli Nicholas Freitag McPhee

Citations