Surrogate Fitness via Factorization of Interaction Matrix

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

@InProceedings{Liskowski:2016:EuroGP,
  author =       "Pawel Liskowski and Krzysztof Krawiec",
  title =        "Surrogate Fitness via Factorization of Interaction
                 Matrix",
  booktitle =    "EuroGP 2016: Proceedings of the 19th European
                 Conference on Genetic Programming",
  year =         "2016",
  month =        "30 " # mar # "--1 " # apr,
  editor =       "Malcolm I. Heywood and James McDermott and 
                 Mauro Castelli and Ernesto Costa and Kevin Sim",
  series =       "LNCS",
  volume =       "9594",
  publisher =    "Springer Verlag",
  address =      "Porto, Portugal",
  pages =        "68--82",
  organisation = "EvoStar",
  keywords =     "genetic algorithms, genetic programming, test-based
                 problem, recommender systems, machine learning,
                 surrogate fitness",
  isbn13 =       "978-3-319-30668-1",
  DOI =          "doi:10.1007/978-3-319-30668-1_5",
  abstract =     "We propose \mname, a method that reduces the number of
                 required interactions between programs and tests in
                 genetic programming. \mname performs factorization of
                 the matrix of the outcomes of interactions between the
                 programs in a working population and the tests.
                 Crucially, that factorization is applied to matrix that
                 is only partially filled with interaction outcomes,
                 i.e., sparse. The reconstructed approximate interaction
                 matrix is then used to calculate the fitness of
                 programs. In empirical comparison to several reference
                 methods in categorical domains, \mname attains higher
                 success rate of synthesizing correct programs within a
                 given computational budget.",
  notes =        "Part of \cite{Heywood:2016:GP} EuroGP'2016 held in
                 conjunction with EvoCOP2016, EvoMusArt2016 and
                 EvoApplications2016",
}

Genetic Programming entries for Pawel Liskowski Krzysztof Krawiec

Citations