An Efficient New Scheme of Fitness Evaluation in Genetic Programming using the R Language

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@Article{Martinez:2016:ieeeLatin,
  author =       "Carlos Alberto Martinez and Juan D. Velasquez",
  journal =      "IEEE Latin America Transactions",
  title =        "An Efficient New Scheme of Fitness Evaluation in
                 Genetic Programming using the R Language",
  year =         "2016",
  volume =       "14",
  number =       "4",
  pages =        "1866--1869",
  abstract =     "The aim of this paper is to propose and analyse
                 several fitness evaluation schemes for solving
                 regression problems using Genetic Programming. The
                 proposed schemes are designed considering the
                 particularities and characteristics of the R Language,
                 and particularly the capacities of the language for
                 matrix manipulation and mathematical expressions
                 evaluation. Experimental results show that some the
                 proposed schemes are able to reduce until 99percent the
                 time spend in fitness evaluation in comparison with the
                 original genetic programming implementation using a
                 traditional tree structure.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/TLA.2016.7483527",
  ISSN =         "1548-0992",
  month =        apr,
  notes =        "Also known as \cite{7483527}",
}

Genetic Programming entries for Carlos Alberto Martinez Juan David Velasquez Henao

Citations