Genetic Programming

author = "Robert B. Nachbar",

title = "Genetic Programming",

journal = "The Mathematica Journal",

year = "1995",

volume = "5",

number = "3",

pages = "44--55",

keywords = "genetic algorithms, genetic programming, Mathematica",

address = "600 Harrison st., San Francisco, CA 94107, USA",

publisher = "Miller Freedman Inc",

ISSN = "1097-1610",

broken = "http://www.mathematica-journal.com/issue/v5i3/",

broken = "http://www.mathematica-journal.com/issue/v5i3/tutorials/nachbar/index.html",

URL = "

http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/nachbar_1995/Nachbar95genetic.pdf",

code_url = "

http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/nachbar_1995/",

size = "14 pages",

abstract = "This article presents a method for optimizing expressions to solve a given problem using the strategy of Darwinism. In contrast to genetic algorithms, which evolve an encoded representation of the solution, genetic programming evolves the solution expression directly. The Mathematica implementation makes use of the built-in features of functional programming, recursion, and hierarchical data structures. An application to symbolic regression is presented.",

notes = "Tutorial. Mathemetica can simplify GP S-expressions. Constant pertubation (=fine tuning mutation?) Announced in posting to GP list on Mon, 12 Jun 95 08:39:42 EDT Code available",