Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{nachbar:1995,
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author = "Robert B. Nachbar",
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title = "Genetic Programming",
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journal = "The Mathematica Journal",
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year = "1995",
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volume = "5",
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number = "3",
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pages = "44--55",
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keywords = "genetic algorithms, genetic programming, Mathematica",
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address = "600 Harrison st., San Francisco, CA 94107, USA",
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publisher = "Miller Freedman Inc",
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ISSN = "1097-1610",
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broken = "http://www.mathematica-journal.com/issue/v5i3/",
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broken = "http://www.mathematica-journal.com/issue/v5i3/tutorials/nachbar/index.html",
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URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/nachbar_1995/Nachbar95genetic.pdf",
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code_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/nachbar_1995/",
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size = "14 pages",
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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.",
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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",
- }
Genetic Programming entries for
Robert B Nachbar
Citations