A variety of remote sensing applications call for automatic optical classification of satellite
images. Recently, satellite missions, such as Sentinel-2, allow us to capture images in real …

Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that are
based on building and sampling a probability model. Copula theory provides methods that …

In this paper we introduce vine copulas to model probabilistic dependencies in supervised
classification problems. Vine copulas allow the representation of the dependence structure …

Dans la plupart des problèmes réels que ce soit technologiques, économiques ou autres,
une compétence du point de vue choix de décisions à faire est indispensable. Un décideur …

Distribution Algorithm, to increase the size, achieve high diversity and convergence of
optimal solutions for a multiobjective optimization problem. The algorithm exploits the …

In this paper we propose a new Copula-based Estimation of Distribution Algorithm, to solve
Many-objective optimization problem and to get new optimal solutions in very court time. Our …

Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that are
based on building and sampling a probability model. Copula theory provides methods that …

Ve své disertační práci se zabývám návrhem, implementací a~ testováním pokročilého
paralelního algoritmu EDA (Estimation of Distribution Algorithm) využívajícího teorii kopulí …

In this paper we introduce a method to build a large variety of multivariate density functions
based on univariate distributions and promising direction vectors. The stochastic model …

A lot of problems in science and industry can be viewed as optimisation problems. A typical
way to represent this problem is to construct a mathematical function F (x), where x contains …