John J. Grefenstette
Selected Publications
Matukumalli LK, Grefenstette JJ, Hyten DL, Choi IY, Cregan PB, Van
Tassell CP (2006). SNP-PHAGE: High throughput SNP discovery
pipeline. BMC Bioinformatics 7: 468.
Grefenstette J, Kim S, and Kauffman S (2006): An
analysis of the class of gene regulatory functions implied by a
biochemical model. Biosystems 84, 81-90.
Matukumalli LK, Grefenstette JJ, Hyten DL, Choi IY, Cregan PB, and Van
Tassell CP (2006). Application of machine learning in SNP
discovery. BMC Bioinformatics 7: 4.
Doung D and Grefenstette J (2005). SISTER: a Symbolic Interactionist
Simulation of Trade and Emergent Roles. Journal of Artificial Societies
and Social Simulation 8(1).
Grefenstette J, Thompson K, Shannon W, and
Steinmeyer B (2005): Genetic algorithms for feature selection using
Mantel correlation scoring. Interface 2005: Classification and
Clustering 37th Symposium on the Interface. St. Louis, MO.
Khan R, Alkharouf N, Beard H, Chouikha I, Meyer S, Grefenstette J, Knap
H, and Matthews B (2004). Microarray analysis of gene expression in
soybean roots susceptible to the soybean cyst nematode two days post
invasion. Journal of Nematology 36(3):241-248.
Matukumalli LK, Grefenstette JJ, Sonstegard TS, Van Tassell CP. (2004).
EST-PAGE: managing and analyzing EST data. Bioinformatics 20(2),
286-288.
Mathe E and Grefenstette J (2004). Polyoptimizing genetic
algorithms for feature subset selection. Interface 2004:
Classification and Clustering 36th Symposium on the
Interface. Baltimore, MD.
Kim S, Weinstein JN, and Grefenstette JJ (2003). Inference of
large-scale topology of gene regulation networks by neural nets.
Proc. IEEE International Conference of Systems, Man, and Cybernetics,
Washington, DC, IEEE, 3969-3975.
Lattner A.D., Kim S., Cervone G., and Grefenstette
J. (2003). Experimental comparison of symbolic learning programs for the
classification of gene network topology models.
FGML 2003 Workshop,
Annual Meetings of the GI Working Group -- Machine Learning, Knowledge
Discovery, Data Mining,
Karlsruhe, Germany, Oct 2003.
Nash H., Blair D., Grefenstette J. (2001). Comparing algorithms
for large-scale sequence analysis.
Proc. 2nd IEEE Int. Symp. on
Bioinformatics and Biomedical Engineering (BIBE 2001),
Rockville MD.,
89-96.
Grefenstette, J. J. (1999).
Evolvability in dynamic fitness landscapes: A genetic algorithm
approach.
Proc. 1999 Congress
on Evolutionary Computation (CEC 99), Washington, DC, IEEE Press,
2031-2038.
Moriarty, D. E., Schultz, A. C. and Grefenstette, J. J. (1999).
Evolutionary algorithms for reinforcement learning.
Journal of Artificial Intelligence Research, 11:199-229.
Daley, R., Schultz, A., and Grefenstette, J. (1999).
Co-evolution of robot behaviors.
SPIE Intl. Symposium on Intelligent
Systems and Advanced Manufacturing (ISAM '99),
Sept, 1999, Boston MA.
Ramsey, C. L., De Jong, K. A., Grefenstette, J. J., Wu, A.S., Durke,
D.S. (1998).
Genome length as an evolutionary self-adaptation.
In Parallel Problem Solving from Nature-5, North Holland.
Burke, D. S., De Jong, K. A., Grefenstette, J. J., Ramsey,
C. L. and Wu, A. S. (1998).
Putting more genetics into genetic algorithms.
Evolutionary Computation 6(4), 387-410.
Grefenstette, J. J. (1997).
Levels of evolution for control systems.
In Genetic Algorithms in Engineering Systems, P. J. Fleming and A. M. S.
Zalzala (Eds.). Peter Peregrinus Press, 1997.
Grefenstette, J. J. (1997).
Efficient implementations of algorithms.
In
The Handbook of Evolutionary Computation,
T. Baeck, D. Fogel and Z.
Michalewicz (Eds.). IOP Publishing and Oxford University Press, 1997.
Grefenstette, J. J. (1997).
Rank-based selection.
In
The Handbook of Evolutionary Computation,
T. Baeck, D. Fogel and Z.
Michalewicz (Eds.). IOP Publishing and Oxford University Press, 1997.
Grefenstette, J. J. (1997).
Proportional selection and sampling algorithms.
In
The Handbook of Evolutionary Computation,
T. Baeck, D. Fogel and Z.
Michalewicz (Eds.). IOP Publishing and Oxford University Press, 1997.
Schultz, A. C., Grefenstette, J. J., and De Jong, K. A. (1997).
Learning to break things: Adaptive testing of intelligent
controllers.
In
The Handbook of Evolutionary Computation,
T. Baeck, D. Fogel and Z.
Michalewicz (Eds.). IOP Publishing and Oxford University Press, 1997.
Yamauchi, B., Schultz, A., Adams, W., Graves, K.,
Grefenstette, J., and Perzanowski, D. (1997).
ARIEL: Autonomous robot for integrated exploration and
localization.
Proc. National Conf. Artificial Intelligence (AAAI-97),
Providence, R.I., July 1997, 84-85.
Grefenstette, J. J. (1996).
Genetic learning for adaptation in autonomous robots.
In
Robotics and Manufacturing: Recent Trends in Research and Applications,
Vol. 6,
M. Jamshidi, F. Pin and P. Dauchez (Eds.), Proc. Sixth Intl.
Symposium on Robotics and Manufacturing, May 1996, ASME Press: New York,
1996, 265-270.
Schultz, A. C., Grefenstette, J. J., and Adams, W. L. (1996).
RoboShepherd: Learning a complex behavior.
Proc. Robots and Learning Workshop
(RoboLearn '96),
May 1996, Key West, Florida, 105-113.
Grefenstette, J. J. and Daley, R. P. (1996).
Methods for competitive and cooperative co-evolution.
In
Adaptation, Co-evolution and Learning
in Multiagent Systems: Papers from the 1996 AAAI Symposium,
45-50. Technical
Report SS-96-01. Menlo Park, CA: AAAI Press, March 1996.
Grefenstette, J. J. (1995).
Predictive models using
fitness distributions of genetic operators.
In
Foundations of Genetic Algorithms 3,
D. Whitley (Ed.),
San Mateo, CA: Morgan Kaufmann.
Grefenstette, J. J. (1995).
Robot learning with parallel genetic algorithms on networked computers.
Proc. 1995 Summer Computer Simulation Conf. (SCSC '95).
Society for Computer Simulation, Ottawa, Ontario, Canada.
Grefenstette, J. J. (1994).
Evolutionary algorithms in robotics.
In
Robotics and Manufacturing: Recent Trends in Research,
Education and Applications, v5.
Proc. Fifth Intl. Symposium on Robotics
and Manufacturing, ISRAM 94,
M. Jamshedi and C. Nguyen (Eds.), 65-72,
ASME Press: New York.
Grefenstette, J. J. (Ed.) (1994).
Genetic Algorithms for Machine Learning.
Kluwer Academic Publishers.
Ramsey, C. L. and Grefenstette, J. J. (1994).
Case-based anytime learning.
In
Case-Based Reasoning: Papers from the 1994 Workshop,
(D. W. Aha, Ed.).
Technical Report WS-94-07, AAAI Press: Menlo Park, CA,
Aug. 1994.
Grefenstette, J. J. (Ed.) (1993).
Special Track on Genetic Algorithms,
IEEE Expert,
IEEE Press.
Grefenstette, J. J. (1993).
Deception considered harmful.
In
Foundations of Genetic Algorithms 2,
D. Whitley (Ed.),
San Mateo, CA: Morgan Kaufmann.
Cobb, H. G. and Grefenstette, J. J. (1993).
Genetic algorithms for
tracking changing environments.
Genetic Algorithms:
Proc. Fifth Intl. Conf. (ICGA93),
San Mateo: Morgan Kaufmann, 523-530.
Ramsey, C. L. and Grefenstette, J. J. (1993).
Case-based initialization of genetic algorithms.
Genetic Algorithms:
Proc. Fifth Intl. Conf. (ICGA93),
San Mateo: Morgan Kaufmann, 84-91.
Grefenstette, J. J. (1992).
The evolution of strategies for multi-agent environments.
Adaptive Behavior 1(1),
65-90.
Grefenstette, J. J. (1992).
Genetic algorithms for changing environments.
Proc. Parallel Problem Solving from Nature-2,
R. Maenner & B. Manderick (Eds.), North-Holland, 137-144.
Grefenstette, J. J. (1991).
Strategy acquisition with genetic algorithms,
in
Handbook of Genetic Algorithms,
Davis, L. D. (Ed.),
Boston: Van Nostrand Reinhold.
Grefenstette, J. J. (1991).
Lamarckian learning in multi-agent environments.
Proc. Fourth Intl. Conf. of
Genetic Algorithms,
San Mateo, CA: Morgan Kaufmann, 303-310.
Grefenstette, J. J. (1990).
Genetic algorithms and their applications.
In
The Encyclopedia of Computer Science and Technology,
21 (Supplement 6),
A. Kent and J. G. Williams, (Eds.),
New York: Marcel Dekker.
Grefenstette, J. J., Ramsey, C. L. and Schultz, A. C. (1990).
Learning sequential decision rules using
simulation models and competition.
Machine Learning 5(4),
355-381.
Grefenstette, J. J. (1988).
Credit assignment in rule discovery systems based on genetic algorithms.
Machine Learning 3(2-3),
225-245.
Fitzpatrick, J. M. and Grefenstette, J. J. (1988).
Genetic algorithms in noisy environment.
Machine Learning 3(2-3),
101-120.
Grefenstette, J. J. (1987).
Incorporating problem specific knowledge into genetic algorithms,
in
Genetic Algorithms and Simulated Annealing,
Davis, L. D. (Ed.),
London: Pitman.
Fitzpatrick, J. M., Pickens, D. R., Grefenstette, J. J.,
Price, R. R. and
James, A. E. (1987).
A technique for automatic motion correction in DSA.
Optical Engineering 26(11),
1085-1093.
Grefenstette, J. J. (1986),
Optimization of control parameters for genetic algorithms.
IEEE Trans. Systems, Man, and Cybernetics, SMC-16(1)
122-128.
Grefenstette, J. J. (1983).
Stability in L systems.
Theoretical Computer Science 24(1),
53-71.
Grefenstette, J. J. (1983).
Network structure and the firing squad synchronization problem.
Journal of Computer and System Sciences 26(1),
139-152.
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