Automatic Generation of Object-Oriented Programs Using Genetic Programming

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

@InProceedings{bruce:1996:agOOpGP,
  author =       "Wilker Shane Bruce",
  title =        "Automatic Generation of Object-Oriented Programs Using
                 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, memory",
  pages =        "267--272",
  address =      "Stanford University, CA, USA",
  publisher =    "MIT Press",
  URL =          "http://citeseer.ist.psu.edu/cache/papers/cs/12859/http:zSzzSzwww.scis.nova.eduzSz~brucewszSzPUBLICATIONSzSzgp96.pdf/bruce96automatic.pdf",
  URL =          "http://citeseer.ist.psu.edu/bruce96automatic.html",
  URL =          "http://cognet.mit.edu/sites/default/files/books/9780262315876/pdfs/9780262315876_chap33.pdf",
  URL =          "http://cognet.mit.edu/library/books/view?isbn=0262611279",
  size =         "6 pages",
  abstract =     "This research addresses the application of genetic
                 programming to the generation of object-oriented
                 programs. An extended chromosome data structure is
                 presented where the set of methods associated with an
                 object is stored as an array of program trees. Modified
                 genetic operators are defined to manipulate this
                 structure. Indexed memory is used to allow the programs
                 generated by the system to access and modify object
                 memory. These extensions to the standard genetic
                 programming...",
  notes =        "GP-96 Early version available from
                 http://www.scis.nova.edu/~brucews/PUBLICATIONS/gp-96.ps
                 (broken)

                 Uses GP to induce stack, queue and P queue. Represents
                 objects as array of trees, one per method. Mutation and
                 crossover. {"}Strongly typed GP generally out performed
                 untyped GP as was expected{"}. STGP. Says details in
                 \cite{bruce:thesis}.",
}

Genetic Programming entries for Wilker Shane Bruce

Citations