Axe 1 : Valorisation des données pour la prise de décision

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This paper presents algorithms to find vertex-critical and edge-critical subgraphs in a given graph <i>G</i>, and demonstrates how these critical subgraphs ...

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Let <i>G</i>=(<i>V,E</i>) be a graph with vertex set <i>V</i> and edge set <i>E</i>. The <i>k</i>-colouring problem is to assign a colour (a number chosen ...

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We consider the bilevel uncapacitated facility location problem with user preferences. It is known that this model may be reformulated as a one-level locati...

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Dantzig-Wolfe decomposition and column generation, devised for linear programs, is a success story in large scale integer programming. We outline and relate ...

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When applying the 2-opt heuristic to the travelling salesman problem, selecting the best improvement at each iteration gives worse results on average than se...

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The berth allocation problem is to allocate space along the quayside to incoming ship at a container terminal in order to minimize some objective function....

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In this paper, we adapt the Wilcoxon signed-rank test to the case of cluster correlated data. A simple modification of the estimator of the asymptotic vari...

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The berth allocation problem is to allocate berths (i.e., sections of the quayside) to ships arriving in a container port in order to minimize the sum of the...

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In this paper, we perform an empirical comparison of the classification error of several ensemble methods based on classification trees. This comparison is b...

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We consider the problem of testing the hypothesis that a multivariate location vector is in the positive orthant. A conditionally distribution-free sign te...

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An approach is suggested for testing whether the dependence structure of a random sample of multivariate data is appropriately modelled by a given family of ...

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The augmenting chain technique has been applied to solve the maximum stable set problem in the class of line graphs (which coincides with the maximum matchin...

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Variable Neighborhood Search (VNS) is a recent metaheuristic, or framework for building heuristics, which exploits systematically the idea of neighborhood ch...

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Given a finite set <i>E</i> and a family <i>F</i>={<i>E</i><sub>1</sub>,...,<i>E<sub>m</sub></i>} of subsets of <i>E</i> such that <i>F</i> covers <i>E</i>...

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This paper introduces a new integrated model for the combined day-off and shift scheduling problem (the tour scheduling problem). This model generalizes the...

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We explore how a simple linear change of variable affects the inclusion functions obtained with Interval Analysis methods. Univariate and multivariate pol...

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We describe a tabu search algorithm for the vehicle routing problem with split deliveries. At each iteration, a neighbour solution is obtained by removing a ...

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The aim of this paper is to present efficient algorithms for the detection of multiple targets in noisy images of a torus. The algorithms are based on the ...

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We develop and analyze parallelization strategies for the Variable Neighborhood Search (VNS) meta-heuristic applied to the <i>p</i>-median problem. The stra...

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Albertson (1997) defines the <i>imbalance</i> of an edge (<i>i,j</i>) in <i>E</i> of a graph <i>G</i> = (<i>V,E</i>) as | <i>d<sub>i</sub> - d<sub>j</sub></...

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