424 search results - page 28 / 85 » Boosted sampling: approximation algorithms for stochastic op... |
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
The Covariance-Matrix-Adaptation Evolution-Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD . Recently, ...
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
A primary goal of evolutionary robotics is to create systems that are as robust and adaptive as the human body. Moving toward this goal often involves training control systems tha...
PRDC
2000
IEEE
13 years 11 months ago
2000
IEEE
In this paper, we extend the classical result by Huang, Kintala, Kolettis and Fulton (1995), and in addition propose a modified stochastic model to determine the software rejuvena...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
AE
2005
Springer
14 years 1 months ago
2005
Springer
Randomization is an efficient tool for global optimization. We here define a method which keeps : – the order 0 of evolutionary algorithms (no gradient) ; – the stochastic as...