Comparing Fitness Functions for Genetic Feature Transformation

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@Article{Klusacek:2016:IFAC-PapersOnLine,
  author =       "Jan Klusacek and Vaclav Jirsik",
  title =        "Comparing Fitness Functions for Genetic Feature
                 Transformation",
  journal =      "IFAC-PapersOnLine",
  volume =       "49",
  number =       "25",
  pages =        "299--304",
  year =         "2016",
  note =         "14th \{IFAC\} Conference on Programmable Devices and
                 Embedded Systems \{PDES\} 2016Brno, Czech Republic, 5-7
                 October 2016",
  ISSN =         "2405-8963",
  DOI =          "doi:10.1016/j.ifacol.2016.12.053",
  URL =          "http://www.sciencedirect.com/science/article/pii/S2405896316326891",
  abstract =     "Abstract: A representation of features is a very
                 important parameter when creating machine learning
                 models. The main goal of this paper is to introduce a
                 way to compare feature space transformations that
                 change this representation. It particularly deals with
                 a comparison of a method that uses a genetic
                 programming based on different fitness functions for
                 transformation of feature space. The fitness function
                 is a very important part of the genetic algorithm
                 because it defines required properties of new feature
                 space. Several possible fitness functions are described
                 and compared in this paper. The process of the
                 comparison is also introduced in this paper and
                 selected functions are tested and their results are
                 compared to each other. These results are compared and
                 upsides and downsides of each method are discussed in
                 conclusion. A part of the work is a framework used to
                 automate processes needed to create this comparison.",
  keywords =     "genetic algorithms, genetic programming, Feature
                 space, Feature space transformation, Fitness function,
                 Machine learning",
}

Genetic Programming entries for Jan Klusacek Vaclav Jirsik

Citations