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J. David Schaffer
- > Home > Persons > J. David Schaffer
Publications
- 2000
- [c22]Keith E. Mathias, Larry J. Eshelman, J. David Schaffer:
Niches in NK-Landscapes. FOGA 2000: 27-46 - [c21]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
- [c20]J. David Schaffer, Murali Mani, Larry J. Eshelman, Keith E. Mathias:
The Effect of Incest Prevention on Genetic Drift. FOGA 1998: 235-244 - [c19]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
- [c18]Larry J. Eshelman, Keith E. Mathias, J. David Schaffer:
Crossover Operator Biases: Exploiting the Population Distribution. ICGA 1997: 354-361 - 1996
- [c17]Larry J. Eshelman, Keith E. Mathias, J. David Schaffer:
Convergence Controlled Variation. FOGA 1996: 203-224 - 1994
- [c16]Larry J. Eshelman, J. David Schaffer:
Productive Recombination and Propagating and Preserving Schemata. FOGA 1994: 299-313 - 1993
- [c15]Larry J. Eshelman, J. David Schaffer:
Crossover's Niche. ICGA 1993: 9-14 - [c14]J. David Schaffer, Larry J. Eshelman:
Designing Multiplierless Digital Filters Using Genetic Algorithms. ICGA 1993: 439-444 - 1992
- [c13]Larry J. Eshelman, J. David Schaffer:
Real-Coded Genetic Algorithms and Interval-Schemata. FOGA 1992: 187-202 - 1991
- [c12]J. David Schaffer, Larry J. Eshelman:
On Crossover as an Evolutionarily Viable Strategy. ICGA 1991: 61-68 - [c11]Larry J. Eshelman, J. David Schaffer:
Preventing Premature Convergence in Genetic Algorithms by Preventing Incest. ICGA 1991: 115-122 - 1990
- [c10]J. David Schaffer, Larry J. Eshelman, Daniel Offutt:
Spurious Correlations and Premature Convergence in Genetic Algorithms. FOGA 1990: 102-112 - 1989
- [c9]Larry J. Eshelman, Rich Caruana, J. David Schaffer:
Biases in the Crossover Landscape. ICGA 1989: 10-19 - [c8]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 - [c7]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 - [c6]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
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