Automated Design of Genetic Programming Classification Algorithms Using a Genetic Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.4067

@InProceedings{Nyathi:2017:evoApplications,
  author =       "Thambo Nyathi and Nelishia Pillay",
  title =        "Automated Design of Genetic Programming Classification
                 Algorithms Using a Genetic Algorithm",
  booktitle =    "20th European Conference on the Applications of
                 Evolutionary Computation",
  year =         "2017",
  editor =       "Giovanni Squillero",
  series =       "LNCS",
  volume =       "10200",
  publisher =    "Springer",
  pages =        "224--239",
  address =      "Amsterdam",
  month =        "19-21 " # apr,
  organisation = "Species",
  keywords =     "genetic algorithms, genetic programming, Data
                 classification, Automated machine learning",
  DOI =          "doi:10.1007/978-3-319-55792-2_15",
  abstract =     "There is a large scale initiative by the machine
                 learning community to automate the design of machine
                 learning techniques to remove reliance on the human
                 expert, providing out of the box software that can be
                 used by novices. In this study the automated design of
                 genetic programming classification algorithms is
                 proposed. A number of design decisions have to be
                 considered by algorithm designers during the design
                 process and this is usually a time consuming task. Our
                 automated design approach uses a genetic algorithm to
                 automatically configure a genetic programming
                 classification algorithm. The genetic algorithm
                 determines parameter values and sets the flow control
                 for the classification algorithm. The proposed system
                 is tested on real world problems and the results
                 indicate that induced classifiers perform better than
                 manually designed classifiers.",
  notes =        "EvoApplications2017 held in conjunction with
                 EuroGP'2017, EvoCOP2017 and EvoMusArt2017
                 http://www.evostar.org/2017/cfp_evoapps.php.",
}

Genetic Programming entries for Thambo Nyathi Nelishia Pillay

Citations