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A sizeable proportion of manufacturing expenses can be attributed to facility layout and material handling. Facility layout decisions involve designing the ...

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Goal Programming with fractional objectives can be reduced to mathematical programming with a linear objective under linear and quadratic constraints, thus...

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This paper deals with the issue of shelf-space allocation and advertising decisions in marketing channels. We consider a network composed of a unique retaile...

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This paper answers a query of S. Vincze (Acta Univ. Szeged, Sect. Sci. Math. 12 A (1950) 136-142): find the convex octagon with unit-length sides and minim...

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This work is devoted to the study of linear continuous-time systems with Markovian jumping parameters and constrained control. The constraints used in this p...

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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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The elementary shortest path problem with resource constraints (ESPPRC) is a widely used modeling tool in formulating vehicle routing and crew scheduling a...

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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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In the <i>m</i>-Peripatetic Salesman Problem</i> (<i>m</i>-PSP) the aim is to determine <i>m</i> edge disjoint Hamiltonian cycles of minimum total cost on a ...

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This chapter describes some of the most important models and algorithms for the classical vehicle routing problem and for several families of arc routing pr...

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Road network monitoring is an activity conducted daily by the Ministry of Transport of Quebec. The complete network must be monitored every two weeks. In th...

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The Gibbs sampler is a very simple yet efficient method for the performance evaluation of product form loss networks. This paper introduces the setwise Gibb...

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The autoregressive conditional multinomial model describes vector time series of conditional probabilities, where the variable of interest is multinomial. ...

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We present stochastic approximation algorithms for computing the locally optimal policy of a constrained average cost finite state Markov Decision process. B...

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Using an inifinite-horizon two-player differential game, we derive and compare Bertrand and Cournot equilibria, for a differentiated duopoly engaging in proc...

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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 presents an exact solution approach for the problem of the simultaneous dispatching and conflict-free routing of automated guided vehicles. The ...

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This paper formulates and analyzes a pattern search method for general constrained optimization based on filter methods for step acceptance. Roughly, a f...

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