Artificial bee colony programming for symbolic regression

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@Article{Karaboga20121,
  author =       "Dervis Karaboga and Celal Ozturk and 
                 Nurhan Karaboga and Beyza Gorkemli",
  title =        "Artificial bee colony programming for symbolic
                 regression",
  journal =      "Information Sciences",
  volume =       "209",
  pages =        "1--15",
  year =         "2012",
  ISSN =         "0020-0255",
  DOI =          "doi:10.1016/j.ins.2012.05.002",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0020025512003295",
  keywords =     "genetic algorithms, genetic programming, Symbolic
                 regression, Artificial bee colony algorithm, Artificial
                 bee colony programming",
  abstract =     "Artificial bee colony algorithm simulating the
                 intelligent foraging behaviour of honey bee swarms is
                 one of the most popular swarm based optimisation
                 algorithms. It has been introduced in 2005 and applied
                 in several fields to solve different problems up to
                 date. In this paper, an artificial bee colony
                 algorithm, called as Artificial Bee Colony Programming
                 (ABCP), is described for the first time as a new method
                 on symbolic regression which is a very important
                 practical problem. Symbolic regression is a process of
                 obtaining a mathematical model using given finite
                 sampling of values of independent variables and
                 associated values of dependent variables. In this work,
                 a set of symbolic regression benchmark problems are
                 solved using artificial bee colony programming and then
                 its performance is compared with the very well-known
                 method evolving computer programs, genetic programming.
                 The simulation results indicate that the proposed
                 method is very feasible and robust on the considered
                 test problems of symbolic regression.",
}

Genetic Programming entries for Dervis Karaboga Celal Ozturk Nurhan Karaboga Beyza Gorkemli

Citations