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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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