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EUROGP
2009
Springer
149views Optimization» more  EUROGP 2009»
15 years 7 months ago
Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs
Abstract. We discuss here empirical comparation between model selection methods based on Linear Genetic Programming. Two statistical methods are compared: model selection based on ...
José Luis Montaña, César Luis...
113
Voted
EUROGP
2009
Springer
143views Optimization» more  EUROGP 2009»
14 years 10 months ago
A Real-Time Evolutionary Object Recognition System
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...
Marc Ebner
EUROGP
2009
Springer
138views Optimization» more  EUROGP 2009»
15 years 7 months ago
Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing
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...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
105
Voted
EUROGP
2009
Springer
132views Optimization» more  EUROGP 2009»
15 years 7 months ago
A Statistical Learning Perspective of Genetic Programming
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...
Nur Merve Amil, Nicolas Bredeche, Christian Gagn&e...
EUROGP
2009
Springer
130views Optimization» more  EUROGP 2009»
15 years 7 months ago
One-Class Genetic Programming
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...
Robert Curry, Malcolm I. Heywood
Optimization
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