39 search results - page 1 / 8 » Rigorous time complexity analysis of Univariate Marginal Dis... |
CEC
2009
IEEE
14 years 11 months ago
2009
IEEE
—Univariate Marginal Distribution Algorithms (UMDAs) are a kind of Estimation of Distribution Algorithms (EDAs) which do not consider the dependencies among the variables. In thi...
GECCO
2005
Springer
14 years 10 months ago
2005
Springer
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...
CEC
2007
IEEE
14 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...
TEC
2010
13 years 11 months ago
2010
Estimation of distribution algorithms (EDAs) are widely used in stochastic optimization. Impressive experimental results have been reported in the literature. However, little work ...
CEC
2009
IEEE
14 years 11 months 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...