Smart infrastructure (telecommunications, public transport, smart cities)

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Cahiers du GERAD

341 results — page 16 of 18

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The problem of assigning locomotives to trains consists of selecting the types and number of engines that minimize the fixed and operational locomotive cost...

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We consider Nash equilibria as correlated equilibria and apply polyhedral theory to study extreme Nash equilibrium properties. We obtain an alternate proof ...

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A new algorithm, which exploits information from both ends of the network, is presented for the bicriterion shortest path problem. The algorithm extends eff...

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A new algorithm, based on interval analysis, is proposed for global optimization of constrained nonlinear nonconvex functions of several variables. It expl...

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Systematic change of neighborhood within a possibly randomized local search algorithm yields a simple and effective metaheuristic for combinatorial and glo...

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The locomotive assignment problem is to provide at minimum cost sufficient motive power to pull all the trains of a time tabled schedule. Optimization metho...

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Chopping a graph <i>G</i> means removing one edge from each connected component of <i>G</i> in parallel, and repeating this until no edges remain. The requi...

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Consider a set <i>L</i> of potential locations for <i>p</i> facilities and a set <i>U</i> of locations of given users. The <i>p</i>-median problem is to loc...

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Multi-commodity flow models are well known and have been widely used in the design of packet-switched networks. They have also been used as approximations ...

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We study the set of lower bounds which have been proposed for the numbering of a complete graph. We first show that the computation of most of them can be ...

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Good heuristic solutions for large Multisource Weber problems can be obtained by solving related <i>p</i>-median problems in which potential locations of th...

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The multisource Weber problem is to locate simultaneously <i>m</i> facilities in the Euclidean plane in order to minimize the total transportation cost for ...

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G-97-01
Nesticity
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A hypergraph <i>H=(X,E)</i> is <i>nested</i> if its edges are pairwise disjoint or included one into the other. The <i>nesticity</i> of <i>H</i> is defined...

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This paper describes the operational airline crew scheduling problem and represents a first published attempt to solve it. This problem consists of modifyin...

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Given a set of entities, Cluster Analysis aims at finding subsets, called clusters, which are homogeneous and/or well separated. As many types of clusterin...

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We study both the continuous and discrete problems of maximizing the product of two linear functions subject to all variables being between 0 and~1. We fir...

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It is shown that the anytime deduction procedure for probabilistic entailment of Frisch and Haddawy does not have the correctness property when the probabil...

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Clustering with a criterion which minimizes the sum of squared distances to cluster centroids is usually done in a heuristic way. An exact polynomial algori...

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Two new path problems in graphs are studied: MINRANGE, i.e., find a path from a vertex <i>s</i> to a vertex <i>t</i> with the smallest possible range of a...

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The multi-depot vehicle scheduling problem with time windows consists of scheduling a fleet of vehicles to cover a set of tasks at minimum cost. Each task i...

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