Larry J. Eshelman

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

Coauthor Index

1	Lex Augusteijn	[23]
2	Rich Caruana	[6] [7] [8] [9]
3	Rajarshi Das	[8]
4	Damien Ehret	[2]
5	Paul F. Hoogendijk	[23]
6	Yumi Iwasaki	[5]
7	Hervé Lambert	[5]
8	Murali Mani	[21] [22]
9	Keith E. Mathias	[19] [20] [21] [22] [23]
10	John P. McDermott	[1] [2]
11	Daniel Offutt	[11]
12	J. David Schaffer	[6] [7] [8] [9] [11] [12] [13] [14] [15] [16] [17] [19] [20] [21] [22] [23]
13	Ming Tan	[2] [4]
14	Rik van de Wiel	[23]

Colors in the list of coauthors