Performance improvement in genetic programming using modified crossover and node mutation

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

@InProceedings{Bhardwaj:2013:GECCOcomp,
  author =       "Arpit Bhardwaj and Aruna Tiwari",
  title =        "Performance improvement in genetic programming using
                 modified crossover and node mutation",
  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 =        "1721--1722",
  month =        "6-10 " # jul,
  organisation = "SIGEVO",
  address =      "Amsterdam, The Netherlands",
  DOI =          "doi:10.1145/2464576.2480787",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "During the evolution of solutions using Genetic
                 Programming (GP) there is generally an increase in
                 average tree size without a corresponding increase in
                 fitness'a phenomenon commonly referred to as bloat.
                 Bloating increases time to find the best solution.
                 Sometimes, best solution can never be obtained. In this
                 paper we are proposing a modified crossover and point
                 mutation operation in GP algorithm in order to reduce
                 the problem of bloat. To demonstrate our approach, we
                 have designed a Multiclass Classifier using GP by
                 taking few benchmark datasets. The results obtained
                 show that by applying modified crossover together with
                 modified node mutation reduces the problem of bloat
                 substantially without compromising the performance.",
  notes =        "Also known as \cite{2480787} Distributed at
                 GECCO-2013.",
}

Genetic Programming entries for Arpit Bhardwaj Aruna Tiwari

Citations