Toward Automating EA Configuration: The Parent Selection Stage

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Smorodkina:2007:cec,
  author =       "Ekaterina Smorodkina and Daniel Tauritz",
  title =        "Toward Automating EA Configuration: The Parent
                 Selection Stage",
  booktitle =    "2007 IEEE Congress on Evolutionary Computation",
  year =         "2007",
  editor =       "Dipti Srinivasan and Lipo Wang",
  pages =        "63--70",
  address =      "Singapore",
  month =        "25-28 " # sep,
  organization = "IEEE Computational Intelligence Society",
  publisher =    "IEEE Press",
  ISBN =         "1-4244-1340-0",
  file =         "1485.pdf",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CEC.2007.4424455",
  abstract =     "One of the obstacles to Evolutionary Algorithms (EAs)
                 fulfilling their promise as easy to use general-purpose
                 problem solvers, is the difficulty of correctly
                 configuring them for specific problems such as to
                 obtain satisfactory performance. Having a mechanism for
                 automatically configuring parameters and operators of
                 every stage of the evolutionary life-cycle would give
                 EAs a more widely spread popularity in the non-expert
                 community. This paper investigates automatic
                 configuration of one of the stages of the evolutionary
                 life-cycle, the parent selection, via a new concept of
                 semi-autonomous parent selection, where mate selection
                 operators are encoded and evolved as in Genetic
                 Programming. We compare the performance of the EA with
                 semi-autonomous parent selection to that of a manually
                 configured EA on three common test problems to
                 determine the 'price' we pay for user-friendliness.",
  notes =        "PHD \cite{EkaterinaHoldenerDissertation} MST 2008 The
                 art of parameterless evolutionary algorithms
                 http://web.mst.edu/~tauritzd/nc-lab/EkaterinaHoldenerDissertation.pdf
                 http://laurel.lso.missouri.edu/search~S8?/tMST+thesis.+Computer+Science+%28Ph.D.%2C+2008%29./tmst+thesis+computer+science+ph+d+2008/-3%2C-1%2C0%2CB/frameset&FF=tmst+thesis+computer+science+ph+d+2008&1%2C%2C6

                 CEC 2007 - A joint meeting of the IEEE, the EPS, and
                 the IET. IEEE Catalog Number: 07TH8963C",
}

Genetic Programming entries for Ekaterina Holdener Daniel R Tauritz

Citations