A Tabu search method is proposed and analysed for selecting variables that are subsequently used in Logistic Regression Models. The aim is to find from among a set of m variables a smaller subset which enables the efficient classification of cases. Reducing dimensionality has some very...

In this work, a system to solve the labor scheduling problem in a passengers flow model at an airport is developed. Specifically, the objective consists on rationalizing personnel costs (check and security), at the same time that the minimum level of service required in the passengers transit...

A variable selection problem is analysed for use in Principal Component Analysis (PCA). In this case, the set of original variables is divided into disjoint groups. The problem resides in the selection of variables, but with the restriction that the set of variables that is selected should...

En este trabajo se analiza un caso particular del Periodic Vehicle Routing Problem, (PVRP), planteado recientemente a los autores de este trabajo por los directivos de una empresa logística. Una empresa fabricante de componentes de automóviles recoge diferentes piezas, que utiliza como...