Genetic Programming with Scale-Free Dynamics

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

@InProceedings{Araseki:2013:EVOLVE,
  author =       "Hitoshi Araseki",
  title =        "Genetic Programming with Scale-Free Dynamics",
  booktitle =    "EVOLVE - A Bridge between Probability, Set Oriented
                 Numerics, and Evolutionary Computation IV",
  year =         "2013",
  editor =       "Michael Emmerich and Andre Deutz and 
                 Oliver Schuetze and Thomas Baeck and Emilia Tantar and 
                 Alexandru-Adrian and Pierre {Del Moral} and Pierrick Legrand and 
                 Pascal Bouvry and Carlos A. Coello",
  volume =       "227",
  series =       "Advances in Intelligent Systems and Computing",
  pages =        "277--291",
  address =      "Leiden, Holland",
  month =        jul # " 10-13",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-01127-1",
  DOI =          "doi:10.1007/978-3-319-01128-8_18",
  abstract =     "This paper describe a new selection method, named
                 SFSwT (Scale-Free Selection method with Tournament
                 mechanism) which is based on a scale-free network
                 study. A scale-free selection model was chosen in order
                 to generate a scale-free structure. The proposed model
                 reduces computational complexity and improves
                 computational performance compared with a previous
                 version of the model. Experimental results with various
                 benchmark problems show that performance of the SFSwT
                 is higher than with other selection methods. In various
                 fields, scale-free structures are closely related to
                 evolutionary computation. Further, it was found through
                 the experiments that the distribution of node
                 connectivity could be used as an index of search
                 efficiency.",
}

Genetic Programming entries for Hitoshi Araseki

Citations