Feasibility of evolving self-learned pattern recognition applied towards the solution of a constrained system using genetic programming

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

@InCollection{min:1994:constraint,
  author =       "Sherman L. Min",
  title =        "Feasibility of evolving self-learned pattern
                 recognition applied towards the solution of a
                 constrained system using genetic programming",
  booktitle =    "Genetic Algorithms at Stanford 1994",
  year =         "1994",
  editor =       "John R. Koza",
  pages =        "110--119",
  address =      "Stanford, California, 94305-3079 USA",
  month =        dec,
  organisation = "Stanford University",
  publisher =    "Stanford Bookstore",
  keywords =     "genetic algorithms, genetic programming, Rubik's
                 Cube",
  ISBN =         "0-18-187263-3",
  notes =        "2 by 2 by 2 cube

                 This volume contains 20 papers written and submitted by
                 students describing their term projects for the course
                 {"}Genetic Algorithms and Genetic Programming{"}
                 (Computer Science 426) at Stanford University offered
                 during the fall quarter 1994
                 http://www-cs-faculty.stanford.edu/~koza/cs426.html",
}

Genetic Programming entries for Sherman L Min

Citations