DBLP: John J. Grefenstette

	2012
c31		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
c30		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
i1		John J. Grefenstette, David E. Moriarty, Alan C. Schultz: Evolutionary Algorithms for Reinforcement Learning. CoRR abs/1106.0221 (2011)
	2009
j15		Todd A. Gillette, John J. Grefenstette: On Comparing Neuronal Morphologies with the Constrained Tree-edit-distance. Neuroinformatics 7(3): 191-194 (2009)
	2006
j14		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 Bioinformatics 7: 4 (2006)
j13		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 Bioinformatics 7: 468 (2006)
	2005
j12		Deborah Vakas Duong, John J. Grefenstette: SISTER: a Symbolic Interactionist Simulation of Trade and Emergent Roles. J. Artificial Societies and Social Simulation 8(1) (2005)
c29		Deborah Vakas Duong, John J. Grefenstette: The emulation of social institutions as a method of coevolution. GECCO 2005: 555-556
	2004
j11		Lakshmi K. Matukumalli, John J. Grefenstette, Tad S. Sonstegard, Curtis P. Van Tassell: EST-PAGE - managing and analyzing EST data. Bioinformatics 20(2): 286-288 (2004)
	2003
c28		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
c27		Hadon Nash, Douglas Blair, John J. Grefenstette: Comparing Algorithms for Large-Scale Sequence Analysis. BIBE 2001: 89-96
	1999
j10		David E. Moriarty, Alan C. Schultz, John J. Grefenstette: Evolutionary Algorithms for Reinforcement Learning. J. Artif. Intell. Res. (JAIR) 11: 241-276 (1999)
	1998
j9		Donald S. Burke, Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, Annie S. Wu: Putting More Genetics into Genetic Algorithms. Evolutionary Computation 6(4): 387-410 (1998)
c26		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
c25		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
c24		Mitchell A. Potter, Kenneth A. De Jong, John J. Grefenstette: A Coevolutionary Approach to Learning Sequential Decision Rules. ICGA 1995: 366-372
	1994
c23		John J. Grefenstette: Predictive Models Using Fitness Distributions of Genetic Operators. FOGA 1994: 139-161
	1993
j8		John J. Grefenstette: Guest Editor's Introduction. IEEE Expert 8(5): 5-8 (1993)
j7		Alan C. Schultz, John J. Grefenstette, Kenneth A. De Jong: Test and Evaluation by Genetic Algorithms. IEEE Expert 8(5): 9-14 (1993)
c22		John J. Grefenstette: Genetic Algorithms and Machine Learning. COLT 1993: 3-4
c21		Connie Loggia Ramsey, John J. Grefenstette: Case-Based Initialization of Genetic Algorithms. ICGA 1993: 84-91
c20		Helen G. Cobb, John J. Grefenstette: Genetic Algorithms for Tracking Changing Environments. ICGA 1993: 523-530
	1992
c19		John J. Grefenstette: Learning Decision Strategies with Genetic Algorithms. AII 1992: 35-50
c18		John J. Grefenstette: Deception Considered Harmful. FOGA 1992: 75-91
c17		John J. Grefenstette, Connie Loggia Ramsey: An Approach to Anytime Learning. ML 1992: 189-195
c16		John J. Grefenstette: Genetic Algorithms for Changing Environments. PPSN 1992: 139-146
	1991
c15		John J. Grefenstette: Lamarckian Learning in Multi-Agent Environments. ICGA 1991: 303-310
c14		Helen G. Cobb, John J. Grefenstette: Learning the Persistence of Actions in Reactive Control Rules. ML 1991: 292-297
	1990
j6		John J. Grefenstette, Connie Loggia Ramsey, Alan C. Schultz: Learning Sequential Decision Rules Using Simulation Models and Competition. Machine Learning 5: 355-381 (1990)
c13		John J. Grefenstette: Conditions for Implicit Parallelism. FOGA 1990: 252-261
c12		Diana F. Gordon, John J. Grefenstette: Explanations of Empirically Derived Reactive Plans. ML 1990: 198-203
c11		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
	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
j5		J. Michael Fitzpatrick, John J. Grefenstette: Genetic Algorithms in Noisy Environments. Machine Learning 3: 101-120 (1988)
j4		John J. Grefenstette: Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms. Machine Learning 3: 225-245 (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
e2		John J. Grefenstette (Ed.): Proceedings of the 2nd International Conference on Genetic Algorithms, Cambridge, MA, USA, July 1987. Lawrence Erlbaum Associates 1987, isbn 0-8058-0158-8
	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
e1		John J. Grefenstette (Ed.): Proceedings of the 1st International Conference on Genetic Algorithms, Pittsburgh, PA, USA, July 1985. Lawrence Erlbaum Associates 1985, isbn 0-8058-0426-9
	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)

2012

c31

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

c30

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

John J. Grefenstette, David E. Moriarty, Alan C. Schultz: Evolutionary Algorithms for Reinforcement Learning. CoRR abs/1106.0221 (2011)

2009

j15

Todd A. Gillette, John J. Grefenstette: On Comparing Neuronal Morphologies with the Constrained Tree-edit-distance. Neuroinformatics 7(3): 191-194 (2009)

2006

j14

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 Bioinformatics 7: 4 (2006)

j13

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 Bioinformatics 7: 468 (2006)

2005

j12

Deborah Vakas Duong, John J. Grefenstette: SISTER: a Symbolic Interactionist Simulation of Trade and Emergent Roles. J. Artificial Societies and Social Simulation 8(1) (2005)

c29

Deborah Vakas Duong, John J. Grefenstette: The emulation of social institutions as a method of coevolution. GECCO 2005: 555-556

2004

j11

Lakshmi K. Matukumalli, John J. Grefenstette, Tad S. Sonstegard, Curtis P. Van Tassell: EST-PAGE - managing and analyzing EST data. Bioinformatics 20(2): 286-288 (2004)

2003

c28

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

c27

Hadon Nash, Douglas Blair, John J. Grefenstette: Comparing Algorithms for Large-Scale Sequence Analysis. BIBE 2001: 89-96

1999

j10

David E. Moriarty, Alan C. Schultz, John J. Grefenstette: Evolutionary Algorithms for Reinforcement Learning. J. Artif. Intell. Res. (JAIR) 11: 241-276 (1999)

1998

Donald S. Burke, Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, Annie S. Wu: Putting More Genetics into Genetic Algorithms. Evolutionary Computation 6(4): 387-410 (1998)

c26

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

c25

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

c24

Mitchell A. Potter, Kenneth A. De Jong, John J. Grefenstette: A Coevolutionary Approach to Learning Sequential Decision Rules. ICGA 1995: 366-372

1994

c23

John J. Grefenstette: Predictive Models Using Fitness Distributions of Genetic Operators. FOGA 1994: 139-161

1993

John J. Grefenstette: Guest Editor's Introduction. IEEE Expert 8(5): 5-8 (1993)

Alan C. Schultz, John J. Grefenstette, Kenneth A. De Jong: Test and Evaluation by Genetic Algorithms. IEEE Expert 8(5): 9-14 (1993)

c22

John J. Grefenstette: Genetic Algorithms and Machine Learning. COLT 1993: 3-4

c21

Connie Loggia Ramsey, John J. Grefenstette: Case-Based Initialization of Genetic Algorithms. ICGA 1993: 84-91

c20

Helen G. Cobb, John J. Grefenstette: Genetic Algorithms for Tracking Changing Environments. ICGA 1993: 523-530

1992

c19

John J. Grefenstette: Learning Decision Strategies with Genetic Algorithms. AII 1992: 35-50

c18

John J. Grefenstette: Deception Considered Harmful. FOGA 1992: 75-91

c17

John J. Grefenstette, Connie Loggia Ramsey: An Approach to Anytime Learning. ML 1992: 189-195

c16

John J. Grefenstette: Genetic Algorithms for Changing Environments. PPSN 1992: 139-146

1991

c15

John J. Grefenstette: Lamarckian Learning in Multi-Agent Environments. ICGA 1991: 303-310

c14

Helen G. Cobb, John J. Grefenstette: Learning the Persistence of Actions in Reactive Control Rules. ML 1991: 292-297

1990

John J. Grefenstette, Connie Loggia Ramsey, Alan C. Schultz: Learning Sequential Decision Rules Using Simulation Models and Competition. Machine Learning 5: 355-381 (1990)

c13

John J. Grefenstette: Conditions for Implicit Parallelism. FOGA 1990: 252-261

c12

Diana F. Gordon, John J. Grefenstette: Explanations of Empirically Derived Reactive Plans. ML 1990: 198-203

c11

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

1989

c10

John J. Grefenstette, James E. Baker: How Genetic Algorithms Work: A Critical Look at Implicit Parallelism. ICGA 1989: 20-27

John J. Grefenstette: A System for Learning Control Strategies with Genetic Algorithms. ICGA 1989: 183-190

Hayong Harry Zhou, John J. Grefenstette: Learning by Analogy in Genetic Classifier Systems. ICGA 1989: 291-297

John J. Grefenstette: Incremental Learning of Control Strategies with Genetic algorithms. ML 1989: 340-344

1988

J. Michael Fitzpatrick, John J. Grefenstette: Genetic Algorithms in Noisy Environments. Machine Learning 3: 101-120 (1988)

John J. Grefenstette: Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms. Machine Learning 3: 225-245 (1988)

John J. Grefenstette: Credit Assignment in Genetic Learning Systems. AAAI 1988: 596-600

1987

Chrisila C. Pettey, Michael R. Leuze, John J. Grefenstette: A Parallel Genetic Algorithm. ICGA 1987: 155-161

John J. Grefenstette: Multilevel Credit Assignment in a Genetic Learning System. ICGA 1987: 202-209

John J. Grefenstette (Ed.): Proceedings of the 2nd International Conference on Genetic Algorithms, Cambridge, MA, USA, July 1987. Lawrence Erlbaum Associates 1987, isbn 0-8058-0158-8

1985

John J. Grefenstette, J. Michael Fitzpatrick: Genetic Search with Approximate Function Evaluation. ICGA 1985: 112-120

John J. Grefenstette, Rajeev Gopal, Brian J. Rosmaita, Dirk Van Gucht: Genetic Algorithms for the Traveling Salesman Problem. ICGA 1985: 160-168

J. David Schaffer, John J. Grefenstette: Multi-Objective Learning via Genetic Algorithms. IJCAI 1985: 593-595

John J. Grefenstette (Ed.): Proceedings of the 1st International Conference on Genetic Algorithms, Pittsburgh, PA, USA, July 1985. Lawrence Erlbaum Associates 1985, isbn 0-8058-0426-9

1984

John J. Grefenstette: Corrigendum: Stability in L Systems. Theor. Comput. Sci. 28: 347 (1984)

1983

John J. Grefenstette: Network Structure and the Firing Squad Synchronization Problem. J. Comput. Syst. Sci. 26(1): 139-152 (1983)

John J. Grefenstette: Stability in L Systems. Theor. Comput. Sci. 24: 53-71 (1983)

1	William Adams	[c25]
2	James E. Baker	[c10]
3	Douglas Blair	[c27]
4	Jeffrey D. Borrebach	[c30]
5	Shawn T. Brown	[c31] [c30]
6	Donald S. Burke	[c31] [c30] [j9] [c26]
7	Jessica G. Burke	[c30]
8	Ik-Young Choi	[j14] [j13]
9	Helen G. Cobb	[c20] [c14]
10	Perry B. Cregan	[j14] [j13]
11	Deborah Vakas Duong	[j12] [c29]
12	J. Michael Fitzpatrick	[j5] [c3]
13	Todd A. Gillette	[j15]
14	Rajeev Gopal	[c2]
15	Kevin Graves	[c25]
16	Dirk Van Gucht	[c2]
17	David L. Hyten	[j14] [j13]
18	Kenneth A. De Jong	[j9] [c26] [c24] [j7]
19	Sohyoung Kim	[c28]
20	Michael R. Leuze	[c5]
21	Lakshmi K. Matukumalli	[j14] [j13] [j11]
22	David E. Moriarty	[i1] [j10]
23	Hadon Nash	[c27]
24	Jack Paparian	[c31]
25	Dennis Perzanowski	[c25]
26	Chrisila C. Pettey	[c5]
27	Katherine D. Philp	[c30]
28	Mitchell A. Potter	[c24]
29	Connie Loggia Ramsey	[j9] [c26] [c21] [c17] [j6] [c11]
30	Brian J. Rosmaita	[c2]
31	J. David Schaffer	[c1]
32	Alan C. Schultz	[i1] [j10] [c25] [j7] [j6] [c11]
33	Tad S. Sonstegard (Tad Stewart Sonstegard)	[j11]
34	Diana F. Spears (Diana F. Gordon-Spears, Diana F. Gordon)	[c12]
35	Curtis P. Van Tassell	[j14] [j13] [j11]
36	John N. Weinstein	[c28]
37	Annie S. Wu	[j9] [c26]
38	Brian Yamauchi	[c25]
39	Michael A. Yonas	[c30]
40	Hayong Harry Zhou	[c8]

John J. Grefenstette

Coauthor Index