John J. Grefenstette - researchr alias

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Viewing Publication 1 - 53 from 53

2020

Detecting critical slowing down in high-dimensional epidemiological systemsTobias S. Brett, Marco Ajelli, Quan-Hui Liu, Mary G. Krauland, John J. Grefenstette, Willem G. van Panhuis, Alessandro Vespignani, John M. Drake, Pejman Rohani. ploscb, 16(3), 2020. [doi]

2012

FRED Navigator: An interactive system for visualizing results from large-scale epidemic simulationsJack Paparian, Shawn T. Brown, Donald S. Burke, John J. Grefenstette. eScience 2012: 1-5 [doi]

2011

Dynamic Simulation of Community Crime and Crime-Reporting BehaviorMichael A. Yonas, Jeffrey D. Borrebach, Jessica G. Burke, Shawn T. Brown, Katherine D. Philp, Donald S. Burke, John J. Grefenstette. sbp 2011: 97-104 [doi]

2009

On Comparing Neuronal Morphologies with the Constrained Tree-edit-distanceTodd A. Gillette, John J. Grefenstette. ni, 7(3):191-194, 2009. [doi]

2006

Application of machine learning in SNP discoveryLakshmi K. Matukumalli, John J. Grefenstette, David L. Hyten, Ik-Young Choi, Perry B. Cregan, Curtis P. Van Tassell. bmcbi, 7:4, 2006. [doi]

SNP-PHAGE - High throughput SNP discovery pipelineLakshmi K. Matukumalli, John J. Grefenstette, David L. Hyten, Ik-Young Choi, Perry B. Cregan, Curtis P. Van Tassell. bmcbi, 7:468, 2006. [doi]

2005

The emulation of social institutions as a method of coevolutionDeborah Vakas Duong, John J. Grefenstette. gecco 2005: 555-556 [doi]

SISTER: a Symbolic Interactionist Simulation of Trade and Emergent RolesDeborah Vakas Duong, John J. Grefenstette. jasss, 8(1), 2005. [doi]

2004

EST-PAGE - managing and analyzing EST dataLakshmi K. Matukumalli, John J. Grefenstette, Tad S. Sonstegard, Curtis P. Van Tassell. bioinformatics, 20(2):286-288, 2004. [doi]

2003

Inference of large-scale topology of gene regulation networks by neural netsSohyoung Kim, John N. Weinstein, John J. Grefenstette. SMC 2003: 3969-3975 [doi]

2001

Comparing Algorithms for Large-Scale Sequence AnalysisHadon Nash, Douglas Blair, John J. Grefenstette. bibe 2001: 89-96

1999

1998

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

Genome Length as an Evolutionary Self-adaptationConnie Loggia Ramsey, Kenneth A. De Jong, John J. Grefenstette, Annie S. Wu, Donald S. Burke. ppsn 1998: 345-356 [doi]

1997

ARIEL: Autonomous Robot for Integrated Exploration and LocalizationBrian Yamauchi, Alan C. Schultz, William Adams, Kevin Graves, John J. Grefenstette, Dennis Perzanowski. AAAI 1997: 804-805

1995

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

1994

Predictive Models Using Fitness Distributions of Genetic OperatorsJohn J. Grefenstette. foga 1995: 139-161

1993

1992

An Approach to Anytime LearningJohn J. Grefenstette, Connie Loggia Ramsey. icml 1992: 189-195

Learning Decision Strategies with Genetic AlgorithmsJohn J. Grefenstette. aii 1992: 35-50

Genetic Algorithms for Changing EnvironmentsJohn J. Grefenstette. ppsn 1992: 139-146

Deception Considered HarmfulJohn J. Grefenstette. foga 1993: 75-91

The Evolution of Strategies for Multiagent EnvironmentsJohn J. Grefenstette. adb, 1(1):65-90, 1992. [doi]

1991

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

Lamarckian Learning in Multi-Agent EnvironmentsJohn J. Grefenstette. icga 1991: 303-310

1990

1989

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

A System for Learning Control Strategies with Genetic AlgorithmsJohn J. Grefenstette. icga 1989: 183-190

Incremental Learning of Control Strategies with Genetic algorithmsJohn J. Grefenstette. icml 1989: 340-344

Learning by Analogy in Genetic Classifier SystemsHayong Harry Zhou, John J. Grefenstette. icga 1989: 291-297

1988

Genetic Algorithms in Noisy EnvironmentsJ. Michael Fitzpatrick, John J. Grefenstette. ml, 3:101-120, 1988.

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

Credit Assignment in Rule Discovery Systems Based on Genetic AlgorithmsJohn J. Grefenstette. ml, 3:225-245, 1988.

1987

Multilevel Credit Assignment in a Genetic Learning SystemJohn J. Grefenstette. icga 1987: 202-209

A Parallel Genetic AlgorithmChrisila C. Pettey, Michael R. Leuze, John J. Grefenstette. icga 1987: 155-161

1986

Optimization of Control Parameters for Genetic AlgorithmsJohn J. Grefenstette. tsmc, 16(1):122-128, 1986. [doi]

1985

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

Genetic Search with Approximate Function EvaluationJohn J. Grefenstette, J. Michael Fitzpatrick. icga 1985: 112-120

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

1984

Corrigendum: Stability in L SystemsJohn J. Grefenstette. TCS, 28:347, 1984.

1983

Stability in L SystemsJohn J. Grefenstette. TCS, 24:53-71, 1983.

Network Structure and the Firing Squad Synchronization ProblemJohn J. Grefenstette. jcss, 26(1):139-152, 1983.

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