Variable neighborhood search (VNS) is a metaheuristic, or framework for building heuristics, based upon systematic change of neighborhoods both in a decent ...

Minimum sum-of-squares clustering (MSSC) consists in partitioning a given set of <i>n</i> points into <i>k</i> clusters in order to minimize the sum of squar...

This paper estimates a structural vector autoregression model to assess the dynamic effects of terrorism on output and prices in Israel over the post-1985 pe...

Methods, models, heuristic and exact algorithms for clustering are reviewed from a mathematical programming view point.

A recent proof of NP-hardness of Euclidean sum-of-squares clustering, due to Drineas et al., <i>Machine Learning</i> 56, 9--33, 2004, is not valid. An altern...

Le texte qui suit est un chapitre du livre intitulé <i>Fourmis artificielles, des bases algorithmiques aux concepts et réalisations avancés</i>, Nicolas Monm...

Minimum sum-of-squares clustering consists in partitioning a given set of <i>n</i> points into <i>c</i> clusters in order to minimize the sum of squared dist...

In this paper we present a simple technique that uses background information to improve mining the frequent patterns of structured data. This technique uses ...

Flexibility in workforce planning is one of the best ways to respond to fluctuations of the demand. This paper proposes a flexible mixed integer linear pro...

<p> Given a graph <i>G=(V,E)</i> with strictly positive integer weights <img src="/cgi-bin/mimetex.cgi?\omega_i"> on the vertices <img src="/cgi-bin/mimete...

This paper proposes to use local search inside filtering algorithms of combinatorial structures for which achieving a desired level of consistency is too c...

A weighted multivariate signed-rank test is introduced for an analysis of multivariate clustered data. Observations in different clusters may then get diffe...

With the help of the AutoGraphiX system, we study relations of the form

<img src="/cgi-bin/mimetex.cgi?\underline{b}m \le i1(G) \oplus i_2(G) \le \overl...

In this paper, we propose a tree-based method for multivariate outcomes consisting in a mixture of categorical and continuous responses. The split function...

In this paper, we consider the nonparametric Behrens-Fisher problem with cluster correlated data. A class of weighted Mann-Whitney test statistics are intr...

Cet article dresse un portrait de l'état de la concurrence fiscale internationale par l'entremise i) de l'étude des taux d'impôt et autres caractéristiques...

This study examines simultaneously the effect of personal, contextual, and product-related factors on purchasing behaviour of fair-trade products. The resu...

Given a graph <img src="/cgi-bin/mimetex.cgi?G=(V,E)"> with strictly positive integer weights <img src="/cgi-bin/mimetex.cgi?\omega_i"> on the vertices <img ...

Tree-based methods are frequently used in studies with censored survival time. Their structure and ease of interpretability make them useful to identify p...

Main methods, algorithms and applications of the Variable Neighborhood Search metaheuristic are surveyed, in view of a chapter of the <i>Encyclopedia of Opti...