CMU Artificial Intelligence Repository
GIGA: Gene Invariant Genetic Algorithm
areas/genetic/ga/systems/giga/
This directory contains GIGA (Gene Invariant Genetic Algorithm). GIGA
propagates information throughout a population, using crossover as its
operator.
Origin:
ftp.cs.ualberta.ca:/pub/TechReports/TR92-02/
ftp.cs.ualberta.ca:/pub/TechReports/TR92-05/
ftp.cs.ualberta.ca:/pub/TechReports/TR92-06/
Version: 22-JAN-93
Requires: C
Copying: Copyright (c) 1992 by Joseph Culberson
Use, copying, modification, and distribution permitted.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Joe Culberson
Department of Computer Science
University of Alberta, CA
Tel: (403) 492-5401
Keywords:
Authors!Culberson, C!Code, GIGA, Genetic Algorithms
References:
[1] Joseph Culberson, "Genetic Invariance: A New Paradigm for
Genetic Algorithm Design", University of Alberta Technical Report
TR92-02, June 1992.
[Revisions: May 2, 1994. Added Techreport Cover page and
corrected subscript errors on page 5 second paragraph.]
[2] Joseph Culberson, "GIGA Program Description and Operation",
University of Alberta Technical Report TR92-06, June 1992.
[Revisions: May 2, 1994 - The Techreport Cover page added.]
[3] Michael Lewchuk, "Genetic Invariance: A New Approach to Genetic
Algorithms", Master's Thesis, Technical Report TR92-05, April 1992.
Last Web update on Mon Feb 13 10:23:01 1995
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