[Jeff Bassett]

(a.k.a Jeff Bassett)

Welcome to my academic homepage.

I was formerly enrolled as a PhD student at the George Mason University Computer Science Department, where I studied Evolutionary Computation, and was a member of the EClab. My advisor was Kenneth A. De Jong.


Academic Progress
xMasters Degree

xQualifying Exams
xPhD Course work
xComprehensive Exams
 Dissertation Proposal
 Dissertation Hours
 Dissertation Defense

Research

The goal of my research was to help bridge the gap between evolutionary algorithm (EA) theory and practice. I developed a set of tools - based on quantitative genetics theory - which practitioners can use to instrument an existing EA. The data collected during a run will allow one to identify and diagnose problems by observing how the algorithm searches the problem landscape.


Publications
Jeffrey K. Bassett (2012)
Methods for Improving the Design and Performance of Evolutionary Algorithms.
PhD thesis, George Mason University, Fairfax, VA.
[PDF

Jeffrey K. Bassett, Uday Kamath and Kenneth A. De Jong (2012)
A New Methodology for the GP Theory Toolbox.
In Proceedings of Genetic and Evolutionary Computation Conference -- GECCO-2012.
[PDF

Jeffrey K. Bassett and Kenneth A. De Jong (2011)
Using multivariate quantitative genetics theory to assist in EA customization.
In Proceedings of the 11th workshop proceedings on Foundations of genetic algorithms.  Pages 219-230, ACM.
[PDF

Jeffrey K. Bassett, Mark Coletti, and Kenneth A. De Jong (2009)
The Relationship Between Evolvability and Bloat.
In Proceedings of Genetic and Evolutionary Computation Conference -- GECCO-2009.  Pages 1899–1900 (Poster), ACM Press.
[PDF]  [Poster

Jeffrey K. Bassett, Mitchell A. Potter, and Kenneth A. De Jong (2005)
Applying Price's Equation to Survival Selection.
In Proceedings of Genetic and Evolutionary Computation Conference -- GECCO-2005.  Pages 1371–1378.  ACM Press.
[PDF

Jeffrey K. Bassett and Mitchell A. Potter and Kenneth A. De Jong (2004)
Looking Under the EA Hood with Price's Equation.
In Genetic and Evolutionary Computation Conference – GECCO-2004,  Springer-Verlag.
[PDF

Mitchell A. Potter and Jeffrey K. Bassett and Kenneth A. De Jong (2003)
Visualizing evolvability with Price's equation.
In Proceedings of the 2003 Congress on Evolutionary Computation,  IEEE Press.
[PDF

Jeffrey K. Bassett (2002)
A Study of Generalization Techniques in Evolutionary Rule Learning.
Masters thesis, George Mason University,  Fairfax VA, USA.
[PDF] [PostScript] [gzipped PostScript

Jeffrey K. Bassett, R. Paul Wiegand and Kenneth A. De Jong (2001)
Evolving Multi–Agent Behaviors Using a Tunable Problem Landscape.
In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2001,  pages 1133 (Poster),  Morgan Kaufmann Publishers.

Jeffrey K. Bassett and Kenneth A. De Jong (2000)
Evolving Behaviors for Cooperating Agents.
In Proceedings of the Twelfth International Symposium on Methodologies for Intelligent Systems,  Z. Ras and S. Ohsuga editor(s),  pages 157–165,  Springer-Verlag.
[PDF] [PostScript] [gzipped PostScript


Contact Information

Jeff Bassett
George Mason University
4400 University Dr.
Krasnow Institute, MS 2A1
Fairfax, VA 22030

Located near here
office: Room 212
e-mail: jbassett@cs.gmu.edu
phone:  (703) 993-4380


Udated on 8/22/2015  Jeffrey Bassett