GP-Lab: The Genetic Programming Laboratory

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@MastersThesis{Glaholt:mastersthesis,

• author = "William Edward Glaholt",
• title = "GP-Lab: The Genetic Programming Laboratory",
• school = "Computer Science, California State University, Sacramento",
• year = "2004",
• type = "Masters of Science",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.theglaholts.net/gplab/GPLab-ThesisDoc%20Final.pdf",
• size = "136 pages",
• abstract = "Evolutionary Programming, also known as Genetic Programming ({"}GP{"}), is an Artificial Intelligence paradigm in which an algorithm is synthesised in the style of Charles Darwin's theory of Evolution. Algorithms are generated through 'reverse-engineering,' the concept in which a desired solution is known, as are the tools, functions, and objects used to generate the solution, but the algorithm that solves the solution is unknown. GP creates a random population of 'individuals', evaluates those individuals for fitness (a term used to judge how 'close' the solution is to a targeted solution), then iteratively creates new generations by 'cross-breeding' genes of the more fit individuals, evaluating, crossbreeding, and so on until the 'best' solution is found. Current tools in the discipline are generally targeted towards solving one explicit problem, or require actual source code modification of the software packages1 in order to effect such a generation. In addition, the solutions generated by existing software tools are not normally immediately usable, are obscure, or are in 'LISP-style' function format, which may be difficult to translate to the average programmer. GP-Lab is based upon, and is an extension of the tool created in a previous Master's thesis by Michael Kramer ({"}GAPS - Genetic Algorithm Programming System{"}, 1996) [1], as well as several other current tools, e.g. 'lil-gp' and 'GARAGE'. GP-Lab adds many user-flexible features, including graphic outputs, direct-to-C compile-ready code solution translation, and a full, extensible procedural programming language with user-created functions. As such, GP-Lab is a tool targeted toward the average programmer who has a known desired solution, a set of tools upon which the solution may be based, and wishes to know the algorithm used to solve that solution.",
• notes = "Approved by: Dr. Du Zhang, Advisor and Committee Chair W. Scott Gordon, Associate Professor",

}

Genetic Programming entries for William Glaholt

Citations