Infrastructures intelligentes (télécommunications, transport public, villes intelligentes)

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The proximity <img src="/cgi-bin/mimetex.cgi?\pi"> of a graph <i>G</i> is the minimum average distance from a vertex of <i>G</i> to all others. Similarly, th...

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During the last three decades, the computer has been widely used in spectral graph theory. Many results about graph eigenvalues were first conjectured, and i...

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This paper focuses on the use of different memory strategies to improve multistart methods. A network design problem in which the costs are given by discrete...

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It is observed that mutations in the formulations of test problems over time are not infrequent. Ensuing problems are illustrated with examples from geometri...

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Finding maximum likelihood parameter values for Finite Mixture Model (FMM) is often done with the Expectation Maximization (EM) algorithm. However the choice...

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Frequency hopping is a feature in GSM (Global System for Mobile Communications) cellular systems in which a frequency carrying the communication rapidly chan...

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This paper proposes a construction heuristic and an adaptive large neighborhood search heuristic for the technician and task scheduling problem arising in a ...

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The aim of this paper is to propose a model for the design of a robust rapid transit network. In this paper, a network is said to be robust when the effect o...

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Upper bounds on the average distance \(\overline{l}\) between pairs of vertices of a connected graph with given order \(n\) and minimum degree `(\delta...

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The transmission of a vertex in a connected graph is the sum of all distance from that vertex to the others. It is said to be normalized if divided by <i>n-1...

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Variable neighborhood search (VNS) is a metaheuristic, or framework for building heuristics, based upon systematic change of neighborhoods both in a decent ...

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With the help of the Graffiti system, Fajtlowicz conjectured around 1992 that the average distance between two vertices of a connected graph <i>G</i> is at ...

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Methods, models, heuristic and exact algorithms for clustering are reviewed from a mathematical programming view point.

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Let <img src="/cgi-bin/mimetex.cgi?G=(V,E)"> be a simple, undirected graph of order <img src="/cgi-bin/mimetex.cgi?n"> and size <img src="/cgi-bin/mimetex.cg...

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In this paper we present a simple technique that uses background information to improve mining the frequent patterns of structured data. This technique uses ...

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While recent algorithms for mining the frequent subgraphs of a database are efficient in the general case, these algorithms tend to do poorly on databases th...

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With the help of the AutoGraphiX system, we study relations of the form

<img src="/cgi-bin/mimetex.cgi?\underline{b}m \le i1(G) \oplus i_2(G) \le \overl...

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Most Fleet Assignment Problem (FAP) formulations use a leg-based estimation of revenue loss to derive the passenger revenue component of their objective fu...

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We present a model that rapidly finds an approximation of the expected passenger flow on an airline network, given forecast data concerning 1) the distribut...

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When constructing a metro alignment under a historical city centre, it is important to generate a cost effective path while maintaining a minimum distance be...

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