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» Model selection in genetic programming
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PPSN
2004
Springer
15 years 8 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 3 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood
149
Voted
EUROGP
2007
Springer
126views Optimization» more  EUROGP 2007»
15 years 6 months ago
Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach
The conversion and extension of the Incremental Pareto-Coevolution Archive algorithm (IPCA) into the domain of Genetic Programming classification is presented. In particular, the ...
Michal Lemczyk, Malcolm I. Heywood
108
Voted
ISMB
1996
15 years 3 months ago
The Mathematical Model of Subtractive Hybridization and Its Practical Application
A novel theory of subtractive hybridization including (or based on) the kinetic model of this process was proposed. A computer program modeling the process of subtraction wasdevel...
Olga D. Ermolaeva, Sergey A. Lukyanov, Eugene D. S...
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 9 months ago
An evolutionary approach to constructive induction for link discovery
This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications. Specifically, we consider t...
Tim Weninger, William H. Hsu, Jing Xia, Waleed Alj...