A scalable symbolic expression tree interpreter for the heuristiclab optimization framework

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

@InProceedings{Cirillo:2014:GECCOcomp,
  author =       "Simone Cirillo and Stefan Lloyd",
  title =        "A scalable symbolic expression tree interpreter for
                 the heuristiclab optimization framework",
  booktitle =    "GECCO 2014 Workshop on Evolutionary Computation
                 Software Systems (EvoSoft)",
  year =         "2014",
  editor =       "Stefan Wagner and Michael Affenzeller",
  isbn13 =       "978-1-4503-2881-4",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "1141--1148",
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Vancouver, BC, Canada",
  URL =          "http://doi.acm.org/10.1145/2598394.2605692",
  DOI =          "doi:10.1145/2598394.2605692",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "In this paper we describe a novel implementation of
                 the Interpreter class for the metaheuristic
                 optimisation framework HeuristicLab, comparing it with
                 the three existing interpreters provided with the
                 framework. The Interpreter class is an internal
                 software component used by HeuristicLab for the
                 evaluation of the symbolic expression trees on which
                 its Genetic Programming (GP) implementation relies. The
                 proposed implementation is based on the creation and
                 compilation of a .NET Expression Tree. We also analyse
                 the Interpreters' performance, evaluating the algorithm
                 execution times on GP Symbolic Regression problems for
                 different run settings. Our implementation results to
                 be the fastest on all evaluations, with comparatively
                 better performance the larger the run population size,
                 dataset length and tree size are, increasing
                 HeuristicLab's computational efficiency for large
                 problem setups.",
  notes =        "Also known as \cite{2605692} Distributed at
                 GECCO-2014.",
}

Genetic Programming entries for Simone Cirillo Stefan Lloyd

Citations