EUROGP
2009
Springer
13 years 9 months ago
2009
Springer
We have created a real-time evolutionary object recognition system. Genetic Programming is used to automatically search the space of possible computer vision programs guided throug...
EUROGP
2009
Springer
14 years 4 months ago
2009
Springer
Physics-based animal animations require data for realistic motion. This data is expensive to acquire through motion capture and inaccurate when estimated by an artist. Grammatical ...
EUROGP
2009
Springer
14 years 4 months ago
2009
Springer
The contribution presented herein proposes an adaptive genetic algorithm applied to quantum logic circuit synthesis that, dynamically adjusts its control parameters. The adaptation...
EUROGP
2009
Springer
14 years 6 months ago
2009
Springer
One-class classification naturally only provides one-class of exemplars, the target class, from which to construct the classification model. The one-class approach is constructed...
EUROGP
2009
Springer
14 years 6 months ago
2009
Springer
Self Modifying CGP (SMCGP) is a developmental form of Cartesian Genetic Programming(CGP). It is able to modify its own phenotype during execution of the evolved program. This is do...
EUROGP
2009
Springer
14 years 6 months ago
2009
Springer
Coevolution often gives rise to counter-intuitive dynamics that defy our expectations. Here we suggest that much of the confusion surrounding coevolution results from imprecise not...
EUROGP
2009
Springer
14 years 6 months ago
2009
Springer
This paper analyses the efficiency of the Cartesian Genetic Programming (CGP) methodology in the image operator design problem at the functional level. The CGP algorithm is compare...
EUROGP
2009
Springer
14 years 6 months ago
2009
Springer
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in GP from the perspec...
EUROGP
2009
Springer
14 years 6 months ago
2009
Springer
EUROGP
2009
Springer
14 years 6 months ago
2009
Springer
Abstract. We discuss here empirical comparation between model selection methods based on Linear Genetic Programming. Two statistical methods are compared: model selection based on ...