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Статті в журналах з теми "Optimisation réseaux"
Sebti, Anas, and Saad Bennis. "Optimisation des coûts de la réhabilitation hydraulique d'un réseau de drainage urbain." Revue des sciences de l’eau 25, no. 2 (August 7, 2012): 121–37. http://dx.doi.org/10.7202/1011603ar.
Повний текст джерелаAssia Kamal-Idrissi. "Optimisation des réseaux aériens: analyse et sélection de nouveaux marchés." Bulletin 1024, no. 16 (November 2020): 136. http://dx.doi.org/10.48556/sif.1024.16.136.
Повний текст джерелаYagoub, Mustapha C. E. "Optimisation des performances de modules multipuces Modélisation par réseaux de neurones." Annales des Télécommunications 59, no. 9-10 (September 2004): 1092–117. http://dx.doi.org/10.1007/bf03179712.
Повний текст джерелаMarcelin, Jean-Luc, and Assad Kallassy. "Approximation de calculs éléments finis par réseaux neuronaux: quelques applications en optimisation." Revue Européenne des Éléments Finis 5, no. 4 (January 1996): 443–60. http://dx.doi.org/10.1080/12506559.1996.11509513.
Повний текст джерелаCharbonnaud, Philippe, Joseba Quevedo, Patrick Hurand, and Xabier Troyas. "Validation et correction de données, optimisation des ressources et supervision des réseaux hydrographiques." La Houille Blanche, no. 1 (February 2007): 78–85. http://dx.doi.org/10.1051/lhb:2007011.
Повний текст джерелаde Cambray-de Mathan, Béatrix, Florent Colin, and Jean-Roch Houllier. "L’optimisation des réseaux cellulaires assistée par ordinateur: le logiciel RNO (Radio Network Optimisation)." Annales Des Télécommunications 58, no. 7-8 (July 2003): 964–1000. http://dx.doi.org/10.1007/bf03001868.
Повний текст джерелаDestandau, François, and Youssef Zaiter. "Optimisation « économique » vs « physique » des réseaux de surveillance de la qualité de l’eau." Revue d'économie politique Vol. 130, no. 3 (July 10, 2020): 473–99. http://dx.doi.org/10.3917/redp.303.0473.
Повний текст джерелаBendimerad, Fethi-Tarik, Nourreddine Boukli-Hacene, and Nawel Hassaine. "Synthèse d’antennes microrubans en réseaux non périodiques à partir de modèles équivalents. Optimisation par l’algorithme génétique." Annales Des Télécommunications 58, no. 7-8 (July 2003): 1021–40. http://dx.doi.org/10.1007/bf03001870.
Повний текст джерелаGuay, Jérome, and Martin Lafrance. "L’aménagement multifonctionnel des bassins de rétention en contexte autoroutier : une optimisation des services écologiques." Le Naturaliste canadien 143, no. 1 (November 28, 2018): 100–106. http://dx.doi.org/10.7202/1054124ar.
Повний текст джерелаArgoubi, Majdi, Abdelkhader El Kamel, Khaled Mellouli, and Fehti Lebdi. "Modélisation et optimisation d'un réseau hydrographique en période de crues." Journal Européen des Systèmes Automatisés 41, no. 6 (September 30, 2007): 733–61. http://dx.doi.org/10.3166/jesa.41.733-761.
Повний текст джерелаДисертації з теми "Optimisation réseaux"
Touré, Sellé. "Optimisation des réseaux : réseau actif et flexible." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENT095/document.
Повний текст джерелаThe Electric Power System is undergoing a lot of evolutions in recent years, including the energymarket deregulation and the increasing integration of Dispersed Generators (DG). Therefore, withinthe framework of Smart Grid concept, the New Information and Communication Technologies (NICT)provide new perspectives to manage and operate distribution networks.In this context, new tools, called Advanced Distribution Automation functions (ADA, are beingstudied). The main objective of these tools is to use all the distribution network components in acoordinated manner to make them more active and flexible, in addition to increasing their operationalefficiency. In our case, we studied the functions associated with the reconfiguration problem, thevoltage control problem and the hybridization of these two, while taking into account the presence ofthe DG. Based on the inherent components of network physical models, several models have beenproposed. Some are derived from the graph theory and others use powerful mathematicalreformulation to make our models convex. The adopted models answer to the necessity of taking intoaccount all regulation means, which can be discrete (On Load Tap-Changer and capacitor banks),binary (components connectivity such as lines or transformers) and continuous (DG reactive power ),and by the choice of tools and algorithms of mixed optimization. Indeed, the complexity of theseproblems is such that we have explored both algorithms: meta-heuristic (ACA, Ant Colony Algorithm)and deterministic (Generalized Benders Decomposition, Branch and Cut Algorithm)
Tall, Abdoulaye. "Optimisation et Auto-Optimisation dans les réseaux LTE." Thesis, Avignon, 2015. http://www.theses.fr/2015AVIG0208/document.
Повний текст джерелаThe mobile network of Orange in France comprises more than 100 000 2G, 3G and 4G antennas with severalfrequency bands, not to mention many femto-cells for deep-indoor coverage. These numbers will continue toincrease in order to address the customers’ exponentially increasing need for mobile data. This is an illustrationof the challenge faced by the mobile operators for operating such a complex network with low OperationalExpenditures (OPEX) in order to stay competitive. This thesis is about leveraging the Self-Organizing Network(SON) concept to reduce this complexity by automating repetitive or complex tasks. We specifically proposeautomatic optimization algorithms for scenarios related to network densification using either small cells orActive Antenna Systems (AASs) used for Vertical Sectorization (VeSn), Virtual Sectorization (ViSn) and multilevelbeamforming. Problems such as load balancing with limited-capacity backhaul and interference coordination eitherin time-domain (eICIC) or in frequency-domain are tackled. We also propose optimal activation algorithms forVeSn and ViSn when their activation is not always beneficial. We make use of results from stochastic approximationand convex optimization for the mathematical formulation of the problems and their solutions. We also proposea generic methodology for the coordination of multiple SON algorithms running in parallel using results fromconcave game theory and Linear Matrix Inequality (LMI)-constrained optimization
Jabban, Ahmad. "Optimisation et analyse des résesaux intelligents et des réseaux hétérogènes." Phd thesis, INSA de Rennes, 2013. http://tel.archives-ouvertes.fr/tel-00881045.
Повний текст джерелаBoix, Marianne. "Optimisation multicritère de réseaux d'eau." Thesis, Toulouse, INPT, 2011. http://www.theses.fr/2011INPT0078/document.
Повний текст джерелаThis study presents a multiobjective optimization of industrial water networks through mathematical programming procedures. A large range of various examples are processed to propose several feasible solutions. An industrial network is composed of fixed numbers of process units and regenerations and contaminants. These units are characterized by a priori defined values: maximal inlet and outlet contaminant concentrations. The aim is both to determine which water flows circulate between units and to allocate them while several objectives are optimized. Fresh water flow-rate (F1), regenerated water flow-rate (F2),interconnexions number (F3), energy consumption (F4) and the number of heat exchangers (F5) are all minimized. This multiobjective optimization is based upon the epsilon-constraint strategy, which is developed from a lexicographic method that leads to Pareto fronts. Monocontaminant networks are addressed with a mixed linear mathematical programming (Mixed Integer Linear Programming, MILP) model, using an original formulation based on partial water flow-rates. The obtained results we obtained are in good agreement with the literature data and lead to the validation of the method. The set of potential network solutions is provided in the form of a Pareto front. An innovative strategy based on the GEC (global equivalent cost) leads to the choice of one network among these solutions and turns out to be more efficient for choosing a good network according to a practical point of view. If the industrial network deals with several contaminants, the formulation changes from MILP into MINLP (Mixed Integer Non Linear Programming). Thanks to the same strategy used for the monocontaminant problem, the networks obtained are topologically simpler than literature data and have the advantage of not involving very low flow-rates. A MILP model is performed in order to optimize heat and water networks. Among several examples, a real case of a paper mill plant is studied. This work leads to a significant improvement of previous solutions between 2 to 10% and 7 to 15% for cost and energy consumptions respectively. The methodology is then extended to the optimization of eco-industrial parks. Several configurations are studied regarding the place of regeneration units in the symbiosis. The best network is obtained when the regeneration is owned by each industry of the park and allows again of about 13% for each company. Finally, when heat is combined to water in the network of the ecopark, a gain of 11% is obtained compared to the case where the companies are considered individually
Ben, Ameur Walid. "Sécurisation et optimisation de réseaux." Paris, ENST, 2000. http://www.theses.fr/2000ENST0005.
Повний текст джерелаChanas, Pascal. "Réseaux ATM : Conception et optimisation." Grenoble 1, 1998. http://www.theses.fr/1998GRE10113.
Повний текст джерелаRachdi, Mohamed Anouar. "Optimisation des ressources de réseaux hétérogènes avec coeur de réseau MPLS." Phd thesis, INSA de Toulouse, 2007. http://tel.archives-ouvertes.fr/tel-00146229.
Повний текст джерелаKlopfenstein, Olivier. "Optimisation robuste des réseaux de télécommunications." Phd thesis, Université de Technologie de Compiègne, 2008. http://tel.archives-ouvertes.fr/tel-00321868.
Повний текст джерелаPour résoudre de tels problèmes combinatoires sous contraintes probabilistes, on s'appuie d'abord sur l'optimisation robuste. Les liens théoriques entre ces deux familles de méthodes sont mis en évidence. A partir de modèles robustes appropriés, des algorithmes de résolution heuristique sont définis. On s'intéresse ensuite à la résolution optimale de problèmes combinatoires sous contraintes probabilistes. Des tests numériques illustrent les méthodes présentées et montrent leur efficacité pratique. Enfin, deux applications au domaine des télécommunications sont développées. Elles concernent toutes deux la localisation de fonctions dans un réseau.
Paquet, Marc. "Optimisation de l'ingénierie de réseaux manufacturiers." Thesis, Université Laval, 2007. http://www.theses.ulaval.ca/2007/24363/24363.pdf.
Повний текст джерелаVallet, Josselin. "Optimisation dynamique de réseaux IP/MPLS." Thesis, Toulouse, INSA, 2015. http://www.theses.fr/2015ISAT0006/document.
Повний текст джерелаThe high variability of traffic has become one of the major problems faced by network infrastructure managers . Under these conditions, flow route optimization based solely on an average busy hour traffic matrix is no longer relevant. The work done in this thesis aims to design dynamic routing optimization methods, adapting in real time the routes used by the flows to the actual network traffic conditions.We first study the problem of OSPF weight optimization for intra-domain routing in IP networks, where the traffic is routed along shortest paths, according to links weights. We propose an online scheme to dynamically reconfigure the OSPF weights and therefore the routes used, to respond to observed traffic variations and reduce the network congestion rate. The proposed approach is based on robust estimation of flow traffic demands from SNMP measurements on links loads. Experimental results, both on simulated and real traffic data show that the network congestion rate can be significantly reduced in comparison to a static weight configuration.On the same idea, we are also interested in optimizing MPLS networks that manage the available resource utilization by assigning a specific path for each LSP. We propose an algorithm inspired by game theory to determine the LSP placement optimizing a nonlinear performance criterion. We establish the convergence of the algorithm and obtain bounds on its approximation factor for several cost functions. As the main advantage of this technique is to offer good quality solutions in extremely reduced computation times, we are studying its use for dynamic reconfiguration of the LSP placement.The last part of this thesis is devoted to the design and development of a software solution for the deployment of a self-healing and self-optimizing network overlay between different cloud platforms. The solution is designed such that no change is required for client applications. By regularly measuring the quality of Internet links between data centers, it can quickly detect an IP route failure and switch the traffic to a backup path. It also allows to dynamically discover the paths in the overlay network that optimize a routing metric specific to the application. We describe the system architecture and implementation, as well as the experiments in both emulation and real platform composed of several data centers located in different countries
Книги з теми "Optimisation réseaux"
Zhu, Jizhong. Optimization of power system operation. Piscataway, N.J: Wiley-IEEE, 2009.
Знайти повний текст джерелаOnvural, Raif. Data Communications and their Performance (IFIP International Federation for Information Processing). Springer, 1995.
Знайти повний текст джерелаSastry, Kumara, Martin Pelikan, and Erick Cantú-Paz. Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications. Springer, 2010.
Знайти повний текст джерела(Editor), Martin Pelikan, Kumara Sastry (Editor), and Erick Cantú-Paz (Editor), eds. Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications (Studies in Computational Intelligence). Springer, 2006.
Знайти повний текст джерелаЧастини книг з теми "Optimisation réseaux"
Korte, Bernhard, Jens Vygen, Jean Fonlupt, and Alexandre Skoda. "Flots dans les réseaux." In Optimisation combinatoire, 171–204. Paris: Springer Paris, 2010. http://dx.doi.org/10.1007/978-2-287-99037-3_8.
Повний текст джерелаKorte, Bernhard, Jens Vygen, Jean Fonlupt, and Alexandre Skoda. "Problémes de conception de réseaux." In Optimisation combinatoire, 519–56. Paris: Springer Paris, 2010. http://dx.doi.org/10.1007/978-2-287-99037-3_20.
Повний текст джерелаAMRAOUI, Asma, and Badr BENMAMMAR. "Optimisation des réseaux à l’aide des techniques de l’intelligence artificielle." In Gestion et contrôle intelligents des réseaux, 71–94. ISTE Group, 2020. http://dx.doi.org/10.51926/iste.9008.ch3.
Повний текст джерелаТези доповідей конференцій з теми "Optimisation réseaux"
Marle, L., J. Blondel, A. Berlatier, D. Faure, and F. Brissaud. "Optimisation de la maintenance des postes de détente du réseau de transport de gaz naturel." In Congrès Lambda Mu 20 de Maîtrise des Risques et de Sûreté de Fonctionnement, 11-13 Octobre 2016, Saint Malo, France. IMdR, 2016. http://dx.doi.org/10.4267/2042/61770.
Повний текст джерела