Experimental Supplements to the Computational Complexity Analysis of Genetic Programming for Problems Modelling Isolated Program Semantics

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@InProceedings{conf/ppsn/UrliWN12,
  author =       "Tommaso Urli and Markus Wagner and Frank Neumann",
  title =        "Experimental Supplements to the Computational
                 Complexity Analysis of Genetic Programming for Problems
                 Modelling Isolated Program Semantics",
  booktitle =    "Parallel Problem Solving from Nature, PPSN XII (part
                 1)",
  year =         "2012",
  editor =       "Carlos A. {Coello Coello} and Vincenzo Cutello and 
                 Kalyanmoy Deb and Stephanie Forrest and 
                 Giuseppe Nicosia and Mario Pavone",
  volume =       "7491",
  series =       "Lecture Notes in Computer Science",
  pages =        "102--112",
  address =      "Taormina, Italy",
  month =        sep # " 1-5",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, problem
                 complexity, multiple objective optimisation,
                 experimental evaluation",
  isbn13 =       "978-3-642-32936-4",
  DOI =          "doi:10.1007/978-3-642-32937-1_11",
  size =         "11 pages",
  abstract =     "In this paper, we carry out experimental
                 investigations that complement recent theoretical
                 investigations on the runtime of simple genetic
                 programming algorithms [3, 7]. Crucial measures in
                 these theoretical analyses are the maximum tree size
                 that is attained during the run of the algorithms as
                 well as the population size when dealing with
                 multi-objective models. We study those measures in
                 detail by experimental investigations and analyse the
                 runtime of the different algorithms in an experimental
                 way.",
  notes =        "Cited by \cite{Nguyen:2013:foga}",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  affiliation =  "DIEGM, Universita degli Studi di Udine, 33100 Udine,
                 Italy",
}

Genetic Programming entries for Tommaso Urli Markus Wagner Frank Neumann

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