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 | 2000 | |
|---|---|---|
| c21 |      | |
| c20 |  | 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 | ||
| c19 | | J. David Schaffer, Murali Mani, Larry J. Eshelman, Keith E. Mathias: The Effect of Incest Prevention on Genetic Drift. FOGA 1998: 235-244 |
| c18 | | 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 | ||
| c17 | | Larry J. Eshelman, Keith E. Mathias, J. David Schaffer: Crossover Operator Biases: Exploiting the Population Distribution. ICGA 1997: 354-361 |
| 1996 | ||
| c16 | | Larry J. Eshelman, Keith E. Mathias, J. David Schaffer: Convergence Controlled Variation. FOGA 1996: 203-224 |
| 1995 | ||
| e1 | | Larry J. Eshelman (Ed.): Proceedings of the 6th International Conference on Genetic Algorithms, Pittsburgh, PA, USA, July 15-19, 1995. Morgan Kaufmann 1995, isbn 1-55860-370-0 |
| 1994 | ||
| c15 | | Larry J. Eshelman, J. David Schaffer: Productive Recombination and Propagating and Preserving Schemata. FOGA 1994: 299-313 |
| 1993 | ||
| c14 | | |
| c13 | | J. David Schaffer, Larry J. Eshelman: Designing Multiplierless Digital Filters Using Genetic Algorithms. ICGA 1993: 439-444 |
| 1992 | ||
| c12 | | Larry J. Eshelman, J. David Schaffer: Real-Coded Genetic Algorithms and Interval-Schemata. FOGA 1992: 187-202 |
| 1991 | ||
| c11 | | J. David Schaffer, Larry J. Eshelman: On Crossover as an Evolutionarily Viable Strategy. ICGA 1991: 61-68 |
| c10 | | Larry J. Eshelman, J. David Schaffer: Preventing Premature Convergence in Genetic Algorithms by Preventing Incest. ICGA 1991: 115-122 |
| 1990 | ||
| c9 | | J. David Schaffer, Larry J. Eshelman, Daniel Offutt: Spurious Correlations and Premature Convergence in Genetic Algorithms. FOGA 1990: 102-112 |
| c8 | | Larry J. Eshelman: The CHC Adaptive Search Algorithm: How to Have Safe Search When Engaging in Nontraditional Genetic Recombination. FOGA 1990: 265-283 |
| 1989 | ||
| c7 | | Larry J. Eshelman, Rich Caruana, J. David Schaffer: Biases in the Crossover Landscape. ICGA 1989: 10-19 |
| c6 | | 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 |
| c5 | | 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 |
| c4 | | 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 |
| 1988 | ||
| j2 | | Larry J. Eshelman: MOLE: A Knowledge Acquisition Tool that Buries Certainty Factors. International Journal of Man-Machine Studies 29(5): 563-577 (1988) |
| c3 | | Hervé Lambert, Larry J. Eshelman, Yumi Iwasaki: Acquiring and Complementing the Model for Diagnostic Tasks. ECAI 1988: 73-78 |
| c2 | | |
| 1987 | ||
| j1 | | 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 | ||
| c1 | | Larry J. Eshelman, John P. McDermott: MOLE: A Knowledge Acquisition Tool that Uses its Head. AAAI 1986: 950-955 |
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