59 search results - page 1 / 12 » Initial-population bias in the univariate estimation of dist... |
GECCO
2009
Springer
13 years 11 months ago
2009
Springer
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary algorithms. In this paper, two operators, biased initialization and biased cr...
CEC
2009
IEEE
13 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...
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
Abstract- Markov Random Field (MRF) modelling techniques have been recently proposed as a novel approach to probabilistic modelling for Estimation of Distribution Algorithms (EDAs)...
CEC
2009
IEEE
13 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...