2000 |
23 | | Keith E. Mathias,
Larry J. Eshelman,
J. David Schaffer,
Lex Augusteijn,
Paul F. Hoogendijk,
Rik van de Wiel:
Code Compaction Using Genetic Algorithms.
GECCO 2000: 710-717 |
1998 |
22 | | J. David Schaffer,
Murali Mani,
Larry J. Eshelman,
Keith E. Mathias:
The Effect of Incest Prevention on Genetic Drift.
FOGA 1998: 235-244 |
21 | EE | Keith E. Mathias,
J. David Schaffer,
Larry J. Eshelman,
Murali Mani:
The Effects of Control Parameters and Restarts on Search Stagnation in Evolutionary Programming.
PPSN 1998: 398-407 |
1997 |
20 | | Larry J. Eshelman,
Keith E. Mathias,
J. David Schaffer:
Crossover Operator Biases: Exploiting the Population Distribution.
ICGA 1997: 354-361 |
1996 |
19 | | Larry J. Eshelman,
Keith E. Mathias,
J. David Schaffer:
Convergence Controlled Variation.
FOGA 1996: 203-224 |
1995 |
18 | | Larry J. Eshelman:
Proceedings of the 6th International Conference on Genetic Algorithms, Pittsburgh, PA, USA, July 15-19, 1995
Morgan Kaufmann 1995 |
1994 |
17 | | Larry J. Eshelman,
J. David Schaffer:
Productive Recombination and Propagating and Preserving Schemata.
FOGA 1994: 299-313 |
1993 |
16 | | J. David Schaffer,
Larry J. Eshelman:
Designing Multiplierless Digital Filters Using Genetic Algorithms.
ICGA 1993: 439-444 |
15 | | Larry J. Eshelman,
J. David Schaffer:
Crossover's Niche.
ICGA 1993: 9-14 |
1992 |
14 | | Larry J. Eshelman,
J. David Schaffer:
Real-Coded Genetic Algorithms and Interval-Schemata.
FOGA 1992: 187-202 |
1991 |
13 | | Larry J. Eshelman,
J. David Schaffer:
Preventing Premature Convergence in Genetic Algorithms by Preventing Incest.
ICGA 1991: 115-122 |
12 | | J. David Schaffer,
Larry J. Eshelman:
On Crossover as an Evolutionarily Viable Strategy.
ICGA 1991: 61-68 |
1990 |
11 | | J. David Schaffer,
Larry J. Eshelman,
Daniel Offutt:
Spurious Correlations and Premature Convergence in Genetic Algorithms.
FOGA 1990: 102-112 |
10 | | Larry J. Eshelman:
The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination.
FOGA 1990: 265-283 |
1989 |
9 | | Larry J. Eshelman,
Rich Caruana,
J. David Schaffer:
Biases in the Crossover Landscape.
ICGA 1989: 10-19 |
8 | | J. David Schaffer,
Rich Caruana,
Larry J. Eshelman,
Rajarshi Das:
A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization.
ICGA 1989: 51-60 |
7 | | Rich Caruana,
Larry J. Eshelman,
J. David Schaffer:
Representation and Hidden Bias II: Eliminating Defining Length Bias in Genetic Search via Shuffle Crossover.
IJCAI 1989: 750-755 |
6 | | Rich Caruana,
J. David Schaffer,
Larry J. Eshelman:
Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms.
ML 1989: 375-378 |
1988 |
5 | | Hervé Lambert,
Larry J. Eshelman,
Yumi Iwasaki:
Acquiring and Complementing the Model for Diagnostic Tasks.
ECAI 1988: 73-78 |
4 | | Ming Tan,
Larry J. Eshelman:
Using Weighted Networks to Represent Classification Knowledge in Noisy Domains.
ML 1988: 121-134 |
3 | | Larry J. Eshelman:
MOLE: A Knowledge Acquisition Tool that Buries Certainty Factors.
International Journal of Man-Machine Studies 29(5): 563-577 (1988) |
1987 |
2 | | Larry J. Eshelman,
Damien Ehret,
John P. McDermott,
Ming Tan:
MOLE: A Tenacious Knowledge-Acquisition Tool.
International Journal of Man-Machine Studies 26(1): 41-54 (1987) |
1986 |
1 | | Larry J. Eshelman,
John P. McDermott:
MOLE: A Knowledge Acquisition Tool that Uses its Head.
AAAI 1986: 950-955 |