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

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

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...

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...

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...

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

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

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 ...

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 ...

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...

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...

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...

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

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

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

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...

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

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

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

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