Search Bias, Language Bias, and Genetic Programming

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

@InProceedings{whigham:1996:sblbGP,
  author =       "P. A. Whigham",
  title =        "Search Bias, Language Bias, and Genetic Programming",
  booktitle =    "Genetic Programming 1996: Proceedings of the First
                 Annual Conference",
  editor =       "John R. Koza and David E. Goldberg and 
                 David B. Fogel and Rick L. Riolo",
  year =         "1996",
  month =        "28--31 " # jul,
  keywords =     "genetic algorithms, genetic programming",
  pages =        "230--237",
  address =      "Stanford University, CA, USA",
  publisher =    "MIT Press",
  URL =          "ftp://www.cs.adfa.edu.au/pub/xin/whigham_gp96.ps.gz",
  URL =          "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap28.pdf",
  URL =          "http://cognet.mit.edu/library/books/view?isbn=0262611279",
  size =         "9 pages",
  abstract =     "The use of bias with automated learning systems has
                 become an important area of research. The use of bias
                 with evolutionary techniques of learning has been shown
                 to have advantages when complex structures are evolved.
                 This is especially true when the semantics of the
                 evolving population of structures is not explicitly
                 represented or analysed during the evolution. This
                 paper describes a framework which brings together two
                 types of bias, namely search bias (the way new
                 structures are created) and language bias (the form of
                 possible structures that may be created). The resulting
                 system extends genetic programming by allowing
                 declarative bias with both the form of possible
                 solutions that are created and the method by which they
                 are transformed.",
  notes =        "GP-96

                 ",
}

Genetic Programming entries for Peter Alexander Whigham

Citations