Statistical Genetic Programming: The Role of Diversity

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InCollection{AmirHaeri:wsc17,
  author =       "Maryam {Amir Haeri} and Mohammad Mehdi Ebadzadeh and 
                 Gianluigi Folino",
  title =        "Statistical Genetic Programming: The Role of
                 Diversity",
  booktitle =    "Soft Computing in Industrial Applications",
  publisher =    "Springer",
  year =         "2014",
  editor =       "Vaclav Snasel and Pavel Kroemer and Mario Koeppen and 
                 Gerald Schaefer",
  volume =       "223",
  series =       "Advances in Intelligent Systems and Computing",
  chapter =      "4",
  pages =        "37--48",
  month =        "21 " # nov,
  note =         "Proceedings of the 17th Online World Conference on
                 Soft Computing in Industrial Applications",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-319-00929-2",
  URL =          "http://dx.doi.org/10.1007/978-3-319-00930-8_4",
  DOI =          "doi:10.1007/978-3-319-00930-8_4",
  language =     "English",
  abstract =     "In this chapter, a new GP-based algorithm is proposed.
                 The algorithm, named SGP (Statistical GP), exploits
                 statistical information, i.e. mean, variance and
                 correlation-based operators, in order to improve the GP
                 performance. SGP incorporates new genetic operators,
                 i.e. Correlation Based Mutation, Correlation Based
                 Crossover, and Variance Based Editing, to drive the
                 search process towards fitter and shorter solutions.
                 Furthermore, this work investigates the correlation
                 between diversity and fitness in SGP, both in terms of
                 phenotypic and genotypic diversity. First experiments
                 conducted on four symbolic regression problems
                 illustrate the goodness of the approach and permits to
                 verify the different behaviour of SGP in comparison
                 with standard GP from the point of view of the
                 diversity and its correlation with the fitness.",
  notes =        "http://dap.vsb.cz/wsc17/ WSC17 2012 Online Conference
                 on Soft Computing in Industrial Applications Anywhere
                 on Earth, December 10-21, 2012

                 Author Affiliations Department of Computer Engineering
                 and Information Technology, Amirkabir University of
                 Technology, Tehran, Iran ICAR-CNR, Rende, Italy",
}

Genetic Programming entries for Maryam Amir Haeri Mohammad Mehdi Ebadzadeh Gianluigi Folino

Citations