20 search results - page 2 / 4 » Genetic drift in univariate marginal distribution algorithm |
CEC
2009
IEEE
14 years 1 days ago
2009
IEEE
—Despite the wide-spread popularity of estimation of distribution algorithms (EDAs), there has been no theoretical proof that there exist optimisation problems where EDAs perform...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
— Estimation of Distribution Algorithm (EDA) is a well-known stochastic optimization technique. The average time complexity is a crucial criterion that measures the performance o...
ICTAI
2007
IEEE
13 years 11 months ago
2007
IEEE
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents a theoretical definition for designing EDAs called Elitist Convergent Estimation of Distribution Algorithm (ECEDA), and a practical implementation: the Boltzm...
EC
2010
13 years 2 months ago
2010
Estimation of distribution algorithms (EDAs) that use marginal product model factorizations have been widely applied to a broad range of, mainly binary, optimization problems. In ...