Smart infrastructure (telecommunications, public transport, smart cities)
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339 results — page 16 of 17
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...
BibTeX referenceChopping Graphs
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 ...
BibTeX referenceNesticity
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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This paper presents an optimal dynamic programming algorithm, the first such algorithm in the literature to solve the shortest path problem with time window...
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We give lower and upper bounds for the number of reducible ears as well as upper bounds for the number of perfect matchings in an elementary bipartite graph...
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