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GECCO
2011
Springer
248views Optimization» more  GECCO 2011»
12 years 8 months ago
Size-based tournaments for node selection
In genetic programming, the reproductive operators of crossover and mutation both require the selection of nodes from the reproducing individuals. Both unbiased random selection a...
Thomas Helmuth, Lee Spector, Brian Martin
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
13 years 6 months ago
Parsimony pressure made easy
The parsimony pressure method is perhaps the simplest and most frequently used method to control bloat in genetic programming. In this paper we first reconsider the size evolutio...
Riccardo Poli, Nicholas Freitag McPhee
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
13 years 6 months ago
Protein-protein functional association prediction using genetic programming
Determining if a group of proteins are functionally associated among themselves is an open problem in molecular biology. Within our long term goal of applying Genetic Programming ...
Beatriz García, Ricardo Aler, Agapito Ledez...
EUROGP
2005
Springer
122views Optimization» more  EUROGP 2005»
13 years 10 months ago
Evolution of Robot Controller Using Cartesian Genetic Programming
Abstract. Cartesian Genetic Programming is a graph based representation that has many benefits over traditional tree based methods, including bloat free evolution and faster evolu...
Simon Harding, Julian F. Miller
CEC
2003
IEEE
13 years 10 months ago
Homology gives size control in genetic programming
Abstract- The Maximum Homologous Crossover attempts to preserve similar structures from parents by aligning them according to their homology. In this paper, it is successfully test...
Michael Defoin-Platel, Manuel Clergue, Philippe Co...