This paper introduces a new approach for estimation of distribution algorithms called the
Boltzmann Univariate Marginal Distribution Algorithm (BUMDA). It uses a Normal-Gaussian …

In this paper, we demonstrate the superiority of vine copulas over conventional copulas
when modeling the dependence structure of a credit portfolio. We show statistical and …

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 …

In the last decade, supervised learning methods for the classification of remotely sensed
images (RSI) have grown significantly, especially for hyper-spectral (HS) images. Recently …

The use of copula-based models in EDAs (estimation of distribution algorithms) is currently
an active area of research. In this context, the copulaedas package for R provides a platform …

Estimation of distribution algorithms based on copula functions Page 1 Estimation of
Distribution Algorithms based on Copula Functions Rogelio Salinas-Gutiérrez ∗ …

In this work a mathematical model for evolutionary optimization is proposed. It takes
advantages of the good properties of copula-vines to overcome many of the limitations of …

Los trastornos temporomandibulares (TTM) son un conjunto de afecciones de la articulaci´
on temporomandibular y los m´ usculos asociados. Estas afecciones se presentan …

In this paper, an estimation of distribution algorithm that adopts a copula Bayesian network
as probabilistic graphic model is presented. Multivariate Archimedean copula functions with …

This chapter presents the incorporation and use of regular vines into Estimation of
Distribution Algorithms for solving numerical optimization problems. Several kinds of …