NEAT, There's No Bloat

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

@InProceedings{trujillo:2014:EuroGP,
  author =       "Leonardo Trujillo and Luis Munoz and 
                 Enrique Naredo and Yuliana Martinez",
  title =        "NEAT, There's No Bloat",
  booktitle =    "17th European Conference on Genetic Programming",
  year =         "2014",
  editor =       "Miguel Nicolau and Krzysztof Krawiec and 
                 Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and 
                 Juan J. Merelo and Victor M. {Rivas Santos} and 
                 Kevin Sim",
  series =       "LNCS",
  volume =       "8599",
  publisher =    "Springer",
  pages =        "174--185",
  address =      "Granada, Spain",
  month =        "23-25 " # apr,
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-662-44302-6",
  DOI =          "doi:10.1007/978-3-662-44303-3_15",
  abstract =     "The Operator Equalisation (OE) family of bloat control
                 methods have achieved promising results in many
                 domains. In particular, the Flat-OE method, that
                 promotes a flat distribution of program sizes, is one
                 of the simplest OE methods and achieves some of the
                 best results. However, Flat-OE, like all OE variants,
                 can be computationally expensive. This work proposes a
                 simplified strategy for bloat control based on Flat-OE.
                 In particular, bloat is studied in the NeuroEvolution
                 of Augmenting Topologies (NEAT) algorithm. NEAT
                 includes a very simple diversity preservation technique
                 based on speciation and fitness sharing, and it is
                 suggested that with some minor tuning, speciation in
                 NEAT can promote a flat distribution of program size.
                 Results indicate that this is the case in two benchmark
                 problems, in accordance with results for Flat-OE. In
                 conclusion, NEAT provides a worthwhile strategy that
                 could be extrapolated to other GP systems, for
                 effective and simple bloat control.",
  notes =        "Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in
                 conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014
                 and EvoApplications2014",
}

Genetic Programming entries for Leonardo Trujillo Luis Munoz Delgado Enrique Naredo Yuliana Martinez

Citations