Segment-based genetic programming

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

@InProceedings{AL-Madi:2013:GECCOcomp,
  author =       "Nailah Al-Madi and Simone A. Ludwig",
  title =        "Segment-based genetic programming",
  booktitle =    "GECCO '13 Companion: Proceeding of the fifteenth
                 annual conference companion on Genetic and evolutionary
                 computation conference companion",
  year =         "2013",
  editor =       "Christian Blum and Enrique Alba and 
                 Thomas Bartz-Beielstein and Daniele Loiacono and 
                 Francisco Luna and Joern Mehnen and Gabriela Ochoa and 
                 Mike Preuss and Emilia Tantar and Leonardo Vanneschi and 
                 Kent McClymont and Ed Keedwell and Emma Hart and 
                 Kevin Sim and Steven Gustafson and 
                 Ekaterina Vladislavleva and Anne Auger and Bernd Bischl and Dimo Brockhoff and 
                 Nikolaus Hansen and Olaf Mersmann and Petr Posik and 
                 Heike Trautmann and Muhammad Iqbal and Kamran Shafi and 
                 Ryan Urbanowicz and Stefan Wagner and 
                 Michael Affenzeller and David Walker and Richard Everson and 
                 Jonathan Fieldsend and Forrest Stonedahl and 
                 William Rand and Stephen L. Smith and Stefano Cagnoni and 
                 Robert M. Patton and Gisele L. Pappa and 
                 John Woodward and Jerry Swan and Krzysztof Krawiec and 
                 Alexandru-Adrian Tantar and Peter A. N. Bosman and 
                 Miguel Vega-Rodriguez and Jose M. Chaves-Gonzalez and 
                 David L. Gonzalez-Alvarez and 
                 Sergio Santander-Jimenez and Lee Spector and Maarten Keijzer and 
                 Kenneth Holladay and Tea Tusar and Boris Naujoks",
  isbn13 =       "978-1-4503-1964-5",
  keywords =     "genetic algorithms, genetic programming",
  pages =        "133--134",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  DOI =          "doi:10.1145/2464576.2464648",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "Genetic Programming (GP) is one of the successful
                 evolutionary computation techniques applied to solve
                 classification problems, by searching for the best
                 classification model applying the fitness evaluation.
                 The fitness evaluation process greatly impacts the
                 overall execution time of GP and is therefore the focus
                 of this research study. This paper proposes a
                 segment-based GP (SegGP) technique that reduces the
                 execution time of GP by partitioning the dataset into
                 segments, and using the segments in the fitness
                 evaluation process. Experiments were done using four
                 datasets and the results show that SegGP can obtain
                 higher or similar accuracy results in shorter execution
                 time compared to standard GP.",
  notes =        "Also known as \cite{2464648} Distributed at
                 GECCO-2013.",
}

Genetic Programming entries for Nailah Al-Madi Simone A Ludwig

Citations