Structure Abstraction and Genetic Programming

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

@InProceedings{yu:1999:SAGP,
  author =       "Tina Yu",
  title =        "Structure Abstraction and Genetic Programming",
  booktitle =    "Proceedings of the Congress on Evolutionary
                 Computation",
  year =         "1999",
  editor =       "Peter J. Angeline and Zbyszek Michalewicz and 
                 Marc Schoenauer and Xin Yao and Ali Zalzala",
  volume =       "1",
  pages =        "652--659",
  address =      "Mayflower Hotel, Washington D.C., USA",
  publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
                 08855-1331, USA",
  month =        "6-9 " # jul,
  organisation = "Congress on Evolutionary Computation, IEEE / Neural
                 Networks Council, Evolutionary Programming Society,
                 Galesia, IEE",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, theory,
                 general even parity problem, perfect solutions, program
                 representation selection, program structures, search
                 space, structure abstraction, evolutionary computation,
                 search problems",
  ISBN =         "0-7803-5536-9 (softbound)",
  ISBN =         "0-7803-5537-7 (Microfiche)",
  URL =          "http://www.cs.mun.ca/~tinayu/index_files/addr/public_html/cec99.pdf",
  DOI =          "doi:10.1109/CEC.1999.781995",
  abstract =     "The selection of program representation can have
                 strong impact on the performance of genetic
                 programming. Previous work has shown that a particular
                 program representation which supports structure
                 abstraction is very effective in solving the general
                 even parity problem. We investigate program structures
                 and analyse all perfect solutions in the search space
                 to provide explanation of why structure abstraction is
                 so effective with this problem. This work provides
                 guidelines for the application of structure abstraction
                 to other problems",
  notes =        "CEC-99 - A joint meeting of the IEEE, Evolutionary
                 Programming Society, Galesia, and the IEE.

                 Library of Congress Number = 99-61143

                 ",
}

Genetic Programming entries for Tina Yu

Citations