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ORCIDJohn J. Grefenstette
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Journal Articles
- 2020
[j18]Tobias S. Brett
, Marco Ajelli, Quan-Hui Liu, Mary G. Krauland, John J. Grefenstette, Willem G. van Panhuis, Alessandro Vespignani, John M. Drake, Pejman Rohani:
Detecting critical slowing down in high-dimensional epidemiological systems. PLoS Comput. Biol. 16(3) (2020)- 2009
- [j17]Todd A. Gillette, John J. Grefenstette:
On Comparing Neuronal Morphologies with the Constrained Tree-edit-distance. Neuroinformatics 7(3): 191-194 (2009) - 2006
- [j16]Lakshmi K. Matukumalli, John J. Grefenstette, David L. Hyten, Ik-Young Choi, Perry B. Cregan, Curtis P. Van Tassell:
Application of machine learning in SNP discovery. BMC Bioinform. 7: 4 (2006) - [j15]Lakshmi K. Matukumalli, John J. Grefenstette, David L. Hyten, Ik-Young Choi, Perry B. Cregan, Curtis P. Van Tassell:
SNP-PHAGE - High throughput SNP discovery pipeline. BMC Bioinform. 7: 468 (2006) - 2005
- [j14]Deborah Vakas Duong, John J. Grefenstette:
SISTER: a Symbolic Interactionist Simulation of Trade and Emergent Roles. J. Artif. Soc. Soc. Simul. 8(1) (2005) - 2004
- [j13]Lakshmi K. Matukumalli, John J. Grefenstette, Tad S. Sonstegard, Curtis P. Van Tassell:
EST-PAGE - managing and analyzing EST data. Bioinform. 20(2): 286-288 (2004) - 1999
- [j12]David E. Moriarty, Alan C. Schultz, John J. Grefenstette:
Evolutionary Algorithms for Reinforcement Learning. J. Artif. Intell. Res. 11: 241-276 (1999) - 1998
- [j11]Donald S. Burke, Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, Annie S. Wu:
Putting More Genetics into Genetic Algorithms. Evol. Comput. 6(4): 387-410 (1998) - 1993
- [j10]John J. Grefenstette:
Guest Editor's Introduction. IEEE Expert 8(5): 5-8 (1993) - [j9]Alan C. Schultz, John J. Grefenstette, Kenneth A. De Jong:
Test and Evaluation by Genetic Algorithms. IEEE Expert 8(5): 9-14 (1993) - 1992
- [j8]John J. Grefenstette:
The Evolution of Strategies for Multiagent Environments. Adapt. Behav. 1(1): 65-90 (1992) - 1990
- [j7]John J. Grefenstette, Connie Loggia Ramsey, Alan C. Schultz:
Learning Sequential Decision Rules Using Simulation Models and Competition. Mach. Learn. 5: 355-381 (1990) - 1988
- [j6]J. Michael Fitzpatrick, John J. Grefenstette:
Genetic Algorithms in Noisy Environments. Mach. Learn. 3: 101-120 (1988) - [j5]John J. Grefenstette:
Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms. Mach. Learn. 3: 225-245 (1988) - 1986
- [j4]John J. Grefenstette:
Optimization of Control Parameters for Genetic Algorithms. IEEE Trans. Syst. Man Cybern. 16(1): 122-128 (1986) - 1984
- [j3]John J. Grefenstette:
Corrigendum: Stability in L Systems. Theor. Comput. Sci. 28: 347 (1984) - 1983
- [j2]John J. Grefenstette:
Network Structure and the Firing Squad Synchronization Problem. J. Comput. Syst. Sci. 26(1): 139-152 (1983) - [j1]John J. Grefenstette:
Stability in L Systems. Theor. Comput. Sci. 24: 53-71 (1983)
Conference and Workshop Papers
- 2012
- [c35]Jack Paparian, Shawn T. Brown, Donald S. Burke, John J. Grefenstette:
FRED Navigator: An interactive system for visualizing results from large-scale epidemic simulations. eScience 2012: 1-5 - 2011
- [c34]Michael A. Yonas, Jeffrey D. Borrebach, Jessica G. Burke, Shawn T. Brown, Katherine D. Philp, Donald S. Burke, John J. Grefenstette:
Dynamic Simulation of Community Crime and Crime-Reporting Behavior. SBP 2011: 97-104 - 2005
- [c33]Deborah Vakas Duong, John J. Grefenstette:
The emulation of social institutions as a method of coevolution. GECCO 2005: 555-556 - 2003
- [c32]Sohyoung Kim, John N. Weinstein, John J. Grefenstette:
Inference of large-scale topology of gene regulation networks by neural nets. SMC 2003: 3969-3975 - 2001
- [c31]Hadon Nash, Douglas Blair, John J. Grefenstette:
Comparing Algorithms for Large-Scale Sequence Analysis. BIBE 2001: 89-96 - 1999
- [c30]Annie S. Wu, Kenneth A. De Jong, Donald S. Burke, John J. Grefenstette, Connie Loggia Ramsey:
Visual analysis of evolutionary algorithms. CEC 1999: 1419-1425 - [c29]John J. Grefenstette:
Evolvability in dynamic fitness landscapes: a genetic algorithm approach. CEC 1999: 2031-2038 - [c28]Robert Daley, Alan C. Schultz, John J. Grefenstette:
Co-evolution of robotic behaviors. Mobile Robots 1999: 228-239 - 1998
- [c27]Connie Loggia Ramsey, Kenneth A. De Jong, John J. Grefenstette, Annie S. Wu, Donald S. Burke:
Genome Length as an Evolutionary Self-adaptation. PPSN 1998: 345-356 - 1997
- [c26]Brian Yamauchi, Alan C. Schultz, William Adams, Kevin Graves, John J. Grefenstette, Dennis Perzanowski:
ARIEL: Autonomous Robot for Integrated Exploration and Localization. AAAI/IAAI 1997: 804-805 - 1995
- [c25]Mitchell A. Potter, Kenneth A. De Jong, John J. Grefenstette:
A Coevolutionary Approach to Learning Sequential Decision Rules. ICGA 1995: 366-372 - 1994
- [c24]John J. Grefenstette:
Predictive Models Using Fitness Distributions of Genetic Operators. FOGA 1994: 139-161 - 1993
- [c23]John J. Grefenstette:
Genetic Algorithms and Machine Learning. COLT 1993: 3-4 - [c22]Connie Loggia Ramsey, John J. Grefenstette:
Case-Based Initialization of Genetic Algorithms. ICGA 1993: 84-91 - [c21]Helen G. Cobb, John J. Grefenstette:
Genetic Algorithms for Tracking Changing Environments. ICGA 1993: 523-530 - 1992
- [c20]John J. Grefenstette:
Learning Decision Strategies with Genetic Algorithms. AII 1992: 35-50 - [c19]John J. Grefenstette:
Deception Considered Harmful. FOGA 1992: 75-91 - [c18]John J. Grefenstette, Connie Loggia Ramsey:
An Approach to Anytime Learning. ML 1992: 189-195 - [c17]John J. Grefenstette:
Genetic Algorithms for Changing Environments. PPSN 1992: 139-146 - 1991
- [c16]John J. Grefenstette:
Lamarckian Learning in Multi-Agent Environments. ICGA 1991: 303-310 - [c15]Helen G. Cobb, John J. Grefenstette:
Learning the Persistence of Actions in Reactive Control Rules. ML 1991: 292-297 - 1990
- [c14]John J. Grefenstette:
Conditions for Implicit Parallelism. FOGA 1990: 252-261 - [c13]Diana F. Gordon, John J. Grefenstette:
Explanations of Empirically Derived Reactive Plans. ML 1990: 198-203 - [c12]Connie Loggia Ramsey, John J. Grefenstette, Alan C. Schultz:
Simulation-Assisted Learning by Competition: Effects of Noise Differences Between Training Model and Target Environment. ML 1990: 211-215 - [c11]Alan C. Schultz, John J. Grefenstette:
Improving tactical plans with genetic algorithms. TAI 1990: 328-334 - 1989
- [c10]John J. Grefenstette, James E. Baker:
How Genetic Algorithms Work: A Critical Look at Implicit Parallelism. ICGA 1989: 20-27 - [c9]John J. Grefenstette:
A System for Learning Control Strategies with Genetic Algorithms. ICGA 1989: 183-190 - [c8]Hayong Harry Zhou, John J. Grefenstette:
Learning by Analogy in Genetic Classifier Systems. ICGA 1989: 291-297 - [c7]John J. Grefenstette:
Incremental Learning of Control Strategies with Genetic algorithms. ML 1989: 340-344 - 1988
- [c6]John J. Grefenstette:
Credit Assignment in Genetic Learning Systems. AAAI 1988: 596-600 - 1987
- [c5]Chrisila C. Pettey, Michael R. Leuze, John J. Grefenstette:
A Parallel Genetic Algorithm. ICGA 1987: 155-161 - [c4]John J. Grefenstette:
Multilevel Credit Assignment in a Genetic Learning System. ICGA 1987: 202-209 - 1985
- [c3]John J. Grefenstette, J. Michael Fitzpatrick:
Genetic Search with Approximate Function Evaluation. ICGA 1985: 112-120 - [c2]John J. Grefenstette, Rajeev Gopal, Brian J. Rosmaita, Dirk Van Gucht:
Genetic Algorithms for the Traveling Salesman Problem. ICGA 1985: 160-168 - [c1]J. David Schaffer, John J. Grefenstette:
Multi-Objective Learning via Genetic Algorithms. IJCAI 1985: 593-595
Editorship
- 1987
- [e2]John J. Grefenstette:
Proceedings of the 2nd International Conference on Genetic Algorithms, Cambridge, MA, USA, July 1987. Lawrence Erlbaum Associates 1987, ISBN 0-8058-0158-8 [contents] - 1985
- [e1]John J. Grefenstette:
Proceedings of the 1st International Conference on Genetic Algorithms, Pittsburgh, PA, USA, July 1985. Lawrence Erlbaum Associates 1985, ISBN 0-8058-0426-9 [contents]
Informal and Other Publications
- 2011
- [i1]John J. Grefenstette, David E. Moriarty, Alan C. Schultz:
Evolutionary Algorithms for Reinforcement Learning. CoRR abs/1106.0221 (2011)
Coauthor Index
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