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:1.7630

@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