A Comparison of Several Linear Genetic Programming Techniques

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@Article{oltean:2004:CS,
  author =       "Mihai Oltean and Crina Grosan",
  title =        "A Comparison of Several Linear Genetic Programming
                 Techniques",
  journal =      "Complex Systems",
  year =         "2004",
  volume =       "14",
  number =       "4",
  pages =        "285--313",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, GEP, MEP",
  ISSN =         "0891-2513",
  URL =          "http://www.cs.ubbcluj.ro/~cgrosan/030409_edited.pdf",
  URL =          "http://www.complex-systems.com/pdf/14-4-1.pdf",
  URL =          "http://www.complex-systems.com/abstracts/v14_i04_a01.html",
  size =         "29 pages",
  abstract =     "A comparison between four Genetic Programming
                 techniques is presented in this paper. The compared
                 methods are Multi-Expression Programming, Gene
                 Expression Programming, Grammatical Evolution, and
                 Linear Genetic Programming. The comparison includes all
                 aspects of the considered evolutionary algorithms:
                 individual representation, fitness assignment, genetic
                 operators, and evolutionary scheme. Several numerical
                 experiments using five benchmarking problems are
                 carried out. Two test problems are taken from PROBEN1
                 and contain real-world data. The results reveal that
                 Multi-Expression Programming has the best overall
                 behavior for the considered test problems, closely
                 followed by Linear Genetic Programming.",
}

Genetic Programming entries for Mihai Oltean Crina Grosan

Citations