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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
16 years 21 days ago
Knowledge reuse in genetic programming applied to visual learning
We propose a method of knowledge reuse for an ensemble of genetic programming-based learners solving a visual learning task. First, we introduce a visual learning method that uses...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
16 years 21 days ago
Self-modifying cartesian genetic programming
In nature, systems with enormous numbers of components (i.e. cells) are evolved from a relatively small genotype. It has not yet been demonstrated that artificial evolution is su...
Simon Harding, Julian Francis Miller, Wolfgang Ban...
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
16 years 21 days ago
Environment as a spatial constraint on the growth of structural form
We explore the use of the developmental environment as a spatial constraint on a model of Artificial Embryogeny, applied to the growth of structural forms. A Deva model is used t...
Taras Kowaliw, Peter Grogono, Nawwaf N. Kharma
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
16 years 21 days ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
16 years 21 days ago
Nonlinear dynamics modelling for controller evolution
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
Julian Togelius, Renzo De Nardi, Hugo Gravato Marq...
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