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GECCO
2007
Springer
194views Optimization» more  GECCO 2007»
16 years 25 days ago
Hybrid coevolutionary algorithms vs. SVM algorithms
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
Rui Li, Bir Bhanu, Krzysztof Krawiec
GECCO
2005
Springer
16 years 5 days ago
Predicting healthcare costs using GAs
Predicting prospective healthcare costs is of increasing importance. Genetic search is used to discover attribute sets and associated posterior probability classifiers that predi...
Christopher R. Stephens, Henri Waelbroeck, S. Tall...
EVOW
2007
Springer
15 years 10 months ago
An Evolutionary Approach to Computer-Aided Orchestration
In this paper we introduce an hybrid evolutionary algorithm for computer-aided orchestration. Our current approach to orchestration consists in replicating a target sound with a se...
Grégoire Carpentier, Damien Tardieu, G&eacu...
CEC
2010
IEEE
15 years 7 months ago
Evolving cascades of voting feature detectors for vehicle detection in satellite imagery
We propose an evolutionary method for detection of vehicles in satellite imagery which involves a large number of simple elementary features and multiple detectors trained by genet...
Krzysztof Krawiec, Bartosz Kukawka, Tomasz Macieje...
GECCO
2008
Springer
130views Optimization» more  GECCO 2008»
15 years 7 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