| 2006 |
|---|
| 42 | EE | 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) |
| 2005 |
|---|
| 41 | EE | Deborah Vakas Duong,
John J. Grefenstette:
The emulation of social institutions as a method of coevolution.
GECCO 2005: 555-556 |
| 2004 |
|---|
| 40 | EE | 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) |
| 2001 |
|---|
| 39 | | Hadon Nash,
Douglas Blair,
John J. Grefenstette:
Comparing Algorithms for Large-Scale Sequence Analysis.
BIBE 2001: 89-96 |
| 1999 |
|---|
| 38 | EE | David E. Moriarty,
Alan C. Schultz,
John J. Grefenstette:
Evolutionary Algorithms for Reinforcement Learning.
J. Artif. Intell. Res. (JAIR) 11: 241-276 (1999) |
| 1998 |
|---|
| 37 | EE | 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 |
| 36 | | 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) |
| 1997 |
|---|
| 35 | | 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 |
|---|
| 34 | | Mitchell A. Potter,
Kenneth A. De Jong,
John J. Grefenstette:
A Coevolutionary Approach to Learning Sequential Decision Rules.
ICGA 1995: 366-372 |
| 1994 |
|---|
| 33 | | John J. Grefenstette:
Predictive Models Using Fitness Distributions of Genetic Operators.
FOGA 1994: 139-161 |
| 1993 |
|---|
| 32 | EE | John J. Grefenstette:
Genetic Algorithms and Machine Learning.
COLT 1993: 3-4 |
| 31 | | Helen G. Cobb,
John J. Grefenstette:
Genetic Algorithms for Tracking Changing Environments.
ICGA 1993: 523-530 |
| 30 | | Connie Loggia Ramsey,
John J. Grefenstette:
Case-Based Initialization of Genetic Algorithms.
ICGA 1993: 84-91 |
| 29 | EE | John J. Grefenstette:
Guest Editor's Introduction.
IEEE Expert 8(5): 5-8 (1993) |
| 28 | EE | Alan C. Schultz,
John J. Grefenstette,
Kenneth A. De Jong:
Test and Evaluation by Genetic Algorithms.
IEEE Expert 8(5): 9-14 (1993) |
| 1992 |
|---|
| 27 | | John J. Grefenstette:
Learning Decision Strategies with Genetic Algorithms.
AII 1992: 35-50 |
| 26 | | John J. Grefenstette:
Deception Considered Harmful.
FOGA 1992: 75-91 |
| 25 | | John J. Grefenstette,
Connie Loggia Ramsey:
An Approach to Anytime Learning.
ML 1992: 189-195 |
| 24 | | John J. Grefenstette:
Genetic Algorithms for Changing Environments.
PPSN 1992: 139-146 |
| 1991 |
|---|
| 23 | | John J. Grefenstette:
Lamarckian Learning in Multi-Agent Environments.
ICGA 1991: 303-310 |
| 22 | | Helen G. Cobb,
John J. Grefenstette:
Learning the Persistence of Actions in Reactive Control Rules.
ML 1991: 292-297 |
| 1990 |
|---|
| 21 | | John J. Grefenstette:
Conditions for Implicit Parallelism.
FOGA 1990: 252-261 |
| 20 | | Diana F. Gordon,
John J. Grefenstette:
Explanations of Empirically Derived Reactive Plans.
ML 1990: 198-203 |
| 19 | | 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 |
| 18 | | John J. Grefenstette,
Connie Loggia Ramsey,
Alan C. Schultz:
Learning Sequential Decision Rules Using Simulation Models and Competition.
Machine Learning 5: 355-381 (1990) |
| 1989 |
|---|
| 17 | | John J. Grefenstette:
A System for Learning Control Strategies with Genetic Algorithms.
ICGA 1989: 183-190 |
| 16 | | John J. Grefenstette,
James E. Baker:
How Genetic Algorithms Work: A Critical Look at Implicit Parallelism.
ICGA 1989: 20-27 |
| 15 | | Hayong Harry Zhou,
John J. Grefenstette:
Learning by Analogy in Genetic Classifier Systems.
ICGA 1989: 291-297 |
| 14 | | John J. Grefenstette:
Incremental Learning of Control Strategies with Genetic algorithms.
ML 1989: 340-344 |
| 1988 |
|---|
| 13 | | John J. Grefenstette:
Credit Assignment in Genetic Learning Systems.
AAAI 1988: 596-600 |
| 12 | | J. Michael Fitzpatrick,
John J. Grefenstette:
Genetic Algorithms in Noisy Environments.
Machine Learning 3: 101-120 (1988) |
| 11 | | John J. Grefenstette:
Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms.
Machine Learning 3: 225-245 (1988) |
| 1987 |
|---|
| 10 | | John J. Grefenstette:
Proceedings of the 2nd International Conference on Genetic Algorithms, Cambridge, MA, USA, July 1987
Lawrence Erlbaum Associates 1987 |
| 9 | | Chrisila C. Pettey,
Michael R. Leuze,
John J. Grefenstette:
A Parallel Genetic Algorithm.
ICGA 1987: 155-161 |
| 8 | | John J. Grefenstette:
Multilevel Credit Assignment in a Genetic Learning System.
ICGA 1987: 202-209 |
| 1985 |
|---|
| 7 | | John J. Grefenstette:
Proceedings of the 1st International Conference on Genetic Algorithms, Pittsburgh, PA, USA, July 1985
Lawrence Erlbaum Associates 1985 |
| 6 | | John J. Grefenstette,
J. Michael Fitzpatrick:
Genetic Search with Approximate Function Evaluation.
ICGA 1985: 112-120 |
| 5 | | John J. Grefenstette,
Rajeev Gopal,
Brian J. Rosmaita,
Dirk Van Gucht:
Genetic Algorithms for the Traveling Salesman Problem.
ICGA 1985: 160-168 |
| 4 | | J. David Schaffer,
John J. Grefenstette:
Multi-Objective Learning via Genetic Algorithms.
IJCAI 1985: 593-595 |
| 1984 |
|---|
| 3 | | John J. Grefenstette:
Corrigendum: Stability in L Systems.
Theor. Comput. Sci. 28: 347 (1984) |
| 1983 |
|---|
| 2 | | John J. Grefenstette:
Network Structure and the Firing Squad Synchronization Problem.
J. Comput. Syst. Sci. 26(1): 139-152 (1983) |
| 1 | | John J. Grefenstette:
Stability in L Systems.
Theor. Comput. Sci. 24: 53-71 (1983) |
