1149 search results - page 1 / 230 » Comparing parameter tuning methods for evolutionary algorith... |
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...
EVOW
2010
Springer
13 years 11 months ago
2010
Springer
Abstract. Finding appropriate parameter values for Evolutionary Algorithms (EAs) is one of the persistent challenges of Evolutionary Computing. In recent publications we showed how...
ESANN
2004
13 years 6 months ago
2004
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
Divide-and-Evolve (DaE) is an original “memeticization” of Evolutionary Computation and Artificial Intelligence Planning. However, like any Evolutionary Algorithm, DaE has se...
HAIS
2008
Springer
13 years 5 months ago
2008
Springer
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...