Genetic Programming Operators Applied to Genetic Algorithms

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

@InProceedings{vrajitoru:1999:GPOAGA,
  author =       "Dana Vrajitoru",
  title =        "Genetic Programming Operators Applied to Genetic
                 Algorithms",
  booktitle =    "Proceedings of the Genetic and Evolutionary
                 Computation Conference",
  year =         "1999",
  editor =       "Wolfgang Banzhaf and Jason Daida and 
                 Agoston E. Eiben and Max H. Garzon and Vasant Honavar and 
                 Mark Jakiela and Robert E. Smith",
  volume =       "1",
  pages =        "686--693",
  address =      "Orlando, Florida, USA",
  publisher_address = "San Francisco, CA 94104, USA",
  month =        "13-17 " # jul,
  publisher =    "Morgan Kaufmann",
  keywords =     "genetic algorithms, genetic programming, classifier
                 systems",
  ISBN =         "1-55860-611-4",
  URL =          "http://www.cs.iusb.edu/~danav/papers/GA-312.pdf",
  URL =          "http://citeseer.ist.psu.edu/453750.html",
  URL =          "http://www.cs.bham.ac.uk/~wbl/biblio/gecco1999/GA-312.ps.gz",
  abstract =     "Like other learning paradigms, the performance of the
                 genetic algorithms (GAs) is dependent on the parameter
                 choice, on the problem representation, and on the
                 fitness landscape. Accordingly, a GA can show good or
                 weak results even when applied on the same problem.
                 Following this idea, the crossover operator plays an
                 important role, and its study is the object of the
                 present paper. A mathematical analysis has led us to
                 construct a new form of crossover operator inspired
                 from genetic programming (GP) that we have already
                 applied in field of information retrieval. In this
                 paper we extend the previous results and compare the
                 new operator with several known crossover operators
                 under various experimental conditions",
  notes =        "GECCO-99 A joint meeting of the eighth international
                 conference on genetic algorithms (ICGA-99) and the
                 fourth annual genetic programming conference (GP-99)",
}

Genetic Programming entries for Dana Vrajitoru

Citations