97 search results - page 3 / 20 » Toward the Optimization of a Class of Black Box Optimization... |
DAGSTUHL
2007
13 years 7 months ago
2007
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
GECCO
2003
Springer
13 years 11 months ago
2003
Springer
Evolutionary Testing (ET) has been shown to be very successful for testing real world applications [10]. The original ET approach focusesonsearching for a high coverage of the test...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noisy part of a benchmark introduced in 2009 called BBOB (B...
GECCO
2009
Springer
13 years 10 months ago
2009
Springer
This paper describes the application of a Gaussian Estimation-of-Distribution (EDA) for real-valued optimization to the noiseless part of a benchmark introduced in 2009 called BBO...