Literatura académica sobre el tema "Optimisation sur modèles de substitution"
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Artículos de revistas sobre el tema "Optimisation sur modèles de substitution"
Auray, Stéphane. "Consommation, effet de substitution intertemporelle et formation des habitudes". L'Actualité économique 85, n.º 4 (8 de diciembre de 2010): 437–73. http://dx.doi.org/10.7202/045072ar.
Texto completoMerabet, Smail, Abdelkrim Bouzaza, Mohamed Bouhelassa y Dominique Wolbert. "Modélisation et optimisation de la photodégradation du 4-méthylphénol dans un réacteur à recirculation en présence d’UV/ZnO". Revue des sciences de l'eau 22, n.º 4 (22 de octubre de 2009): 565–73. http://dx.doi.org/10.7202/038331ar.
Texto completoPhaneuf, Louis. "Approche d’équilibre général stochastique du cycle économique : problèmes et réalisations". L'Actualité économique 62, n.º 1 (27 de enero de 2009): 110–46. http://dx.doi.org/10.7202/601362ar.
Texto completoKechichian, Amélie, Florian Imbert y Nicolas Pinsault. "Coopérations entre professionnels de santé en soins primaires pour la prise en charge des troubles musculosquelettiques une revue narrative". Santé Publique Vol. 35, n.º 3 (12 de octubre de 2023): 271–84. http://dx.doi.org/10.3917/spub.233.0271.
Texto completoCheknane, Ali, Boumediene Benyoucef, Jean-Pierre Charles y Radia Zerdoum. "Optimisation et Conception d'une Grille Collectrice Appliquée aux Photopiles Fonctionnant sous Haute Concentration Solaire". Journal of Renewable Energies 7, n.º 2 (31 de diciembre de 2004): 95–108. http://dx.doi.org/10.54966/jreen.v7i2.870.
Texto completoRajhi, Taoufik y Patrick Villieu. "Dynamique transitoire et non-superneutralité de la monnaie dans un modèle de croissance endogène à deux secteurs". Recherches économiques de Louvain 64, n.º 2 (1998): 141–58. http://dx.doi.org/10.1017/s0770451800004498.
Texto completoDufrénot, Gilles. "Faut-il croire aux modèles non linéaires du cycle économique ?" Économie appliquée 47, n.º 3 (1994): 41–64. http://dx.doi.org/10.3406/ecoap.1994.1522.
Texto completoZENNAKI, A., K. BABA-HAMED y A. BOUANANI. "Étude comparative des modèles hydrologiques conceptuels globaux GR et Gardénia appliqués au bassin versant de l’oued Boukiou (Nord-Ouest algérien)". Techniques Sciences Méthodes, n.º 12 (20 de enero de 2021): 53–70. http://dx.doi.org/10.36904/tsm/202012053.
Texto completoLaffargue, J. P. y P. Malgrange. "Rationalité des comportements et des anticipations dans les blocs réels des modèles macroéconomiques". Recherches économiques de Louvain 53, n.º 3 (septiembre de 1987): 203–22. http://dx.doi.org/10.1017/s0770451800043761.
Texto completoFOGO PAWO, Romain. "déterminants objectifs de l’endettement en contexte de rationnement du crédit". Journal of Academic Finance 11, n.º 2 (31 de diciembre de 2020): 280–92. http://dx.doi.org/10.59051/joaf.v11i2.417.
Texto completoTesis sobre el tema "Optimisation sur modèles de substitution"
Cordonnier, Laurie. "Optimisation des traitements de substitution aux opiacés par action conjointe sur les systèmes dopaminergique et opioïde chez la souris". Paris 5, 2006. http://www.theses.fr/2006PA05P615.
Texto completoAmisulpride (D2/D3 dopamine receptor antagonist) and RB101 (mixed inhibitor of enkephalins catabolism) have been associated in this study in order to constitute a novel approach in heroin substitution treatments. After a behavioral study in non-dependent mice, which revealed a potentiation of RB101-induced effects following a chronic treatment with amisulpride, the sustaining neurochemical mechanisms had been investigated thanks to the use of preproenkephalin gene knockout mice and an in situ hybridization technique. The enkephalins role in the control of emotional responses through their action on opioid receptors had then been studied. Finally, the association amisulpride-RB101 had been used to block the expression of morphine-induced behavioral sensitization. These results were compared to classical substitution treatments, buprenorphine and methadone
Chamaret, Damien. "Plate-forme de réalité virtuelle pour l'étude de l'accessibilité et de l'extraction de lampes sur prototype virtuel automobile". Phd thesis, Université d'Angers, 2010. http://tel.archives-ouvertes.fr/tel-00540899.
Texto completoBerbecea, Alexandru. "Approches multi-niveaux pour la conception systémique optimale des chaînes de traction ferroviaire". Phd thesis, Ecole Centrale de Lille, 2012. http://tel.archives-ouvertes.fr/tel-00917657.
Texto completoBaudoui, Vincent. "Optimisation robuste multiobjectifs par modèles de substitution". Phd thesis, Toulouse, ISAE, 2012. http://tel.archives-ouvertes.fr/tel-00742023.
Texto completoSaves, Paul. "High dimensional multidisciplinary design optimization for eco-design aircraft". Electronic Thesis or Diss., Toulouse, ISAE, 2024. http://www.theses.fr/2024ESAE0002.
Texto completoNowadays, there has been significant and growing interest in improving the efficiency of vehicle design processes through the development of tools and techniques in the field of multidisciplinary design optimization (MDO). In fact, when optimizing both the aerodynamics and structures, one needs to consider the effect of the aerodynamic shape variables and structural sizing variables on the weight which also affects the fuel consumption. MDO arises as a powerful tool that can perform this trade-off automatically. The objective of the Ph. D project is to propose an efficient approach for solving an aero-structural wing optimization process at the conceptual design level. The latter is formulated as a constrained optimization problem that involves a large number of design variables (typically 700 variables). The targeted optimization approach is based on a sequential enrichment (typically efficient global optimization (EGO)), using an adaptive surrogate model. Kriging surrogate models are one of the most widely used in engineering problems to substitute time-consuming high fidelity models. EGO is a heuristic method, designed for the solution of global optimization problems that has performed well in terms of quality of the solution computed. However, like any other method for global optimization, EGO suffers from the curse of dimensionality, meaning that its performance is satisfactory on lower dimensional problems, but deteriorates as the dimensionality of the optimization search space increases. For realistic aircraft wing design problems, the typical size of the design variables exceeds 700 and, thus, trying to solve directly the problems using EGO is ruled out. In practical test cases, high dimensional MDO problems may possess a lower intrinsic dimensionality, which can be exploited for optimization. In this context, a feature mapping can then be used to map the original high dimensional design variable onto a sufficiently small design space. Most of the existing approaches in the literature use random linear mapping to reduce the dimension, sometimes active learning is used to build this linear embedding. Generalizations to non-linear subspaces are also proposed using the so-called variational autoencoder. For instance, a composition of Gaussian processes (GP), referred as deep GP, can be very useful. In this PhD thesis, we will investigate efficient parameterization tools to significantly reduce the number of design variables by using active learning technics. An extension of the method could be also proposed to handle mixed continuous and categorical inputs using some previous works on low dimensional problems. Practical implementations within the OpenMDAO framework (an open source MDO framework developed by NASA) are expected
Liu, Zhen. "Modèles d'exécutions parallèles sur des systèmes multiprocesseurs : analyse et optimisation". Paris 11, 1989. http://www.theses.fr/1989PA112011.
Texto completoThe main concerns of this thesis are the modeling, analysis and optimization problems arising in multiprocessor systems with concurrent tasks. Multiprocessor systems are modeled by a set of processors connected by an interconnection network, parallel programs by directed acyclic graphs. Both exact and approximate methods are proposed for various parallel processing models. The performance measures such as program response time, system throughput, and stability condition, etc. . . , are analyzed. Scheduling algorithm that minimize makespan are also considered. New heuristics are provided together with simple illustrative examples. Besides theoretical studies, the performance evaluation software package SPEC (Software package for Performances Evaluation of Concurrent systems), designed and implemented by the author, is described concisely. This software package contains analytical and simulation tools
Bompard, Manuel. "MODÈLES DE SUBSTITUTION POUR L'OPTIMISATION GLOBALE DE FORME EN AÉRODYNAMIQUE ET MÉTHODE LOCALE SANS PARAMÉTRISATION". Phd thesis, Université Nice Sophia Antipolis, 2011. http://tel.archives-ouvertes.fr/tel-00771799.
Texto completoJung, Matthieu. "Evolution du VIH : méthodes, modèles et algorithmes". Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20052/document.
Texto completoNucleotide sequences data enable the inference of phylogenetic trees, or phylogenies, describing their evolutionary re-lationships during evolution. Combining these sequences with their sampling date or country of origin, allows inferring the temporal or spatial localization of their common ancestors. These data and methods are widely used with viral sequences, and particularly with human immunodeficiency virus (HIV), to trace the viral epidemic history over time and throughout the globe. Using sequences sampled at different points in time (or heterochronous) is also a mean to estimate their substitution rate, which characterizes the speed of evolution. The most commonly used methods to achieve these tasks are accurate, but are computationally heavy since they are based on complex models, and can only handle few hundreds of sequences. With an increasing number of sequences avail-able in the databases, often several thousand for a given study, the development of fast and accurate methods becomes essential. Here, we present a new distance-based method, named Ultrametric Least Squares, which is based on the princi-ple of least squares (very popular in phylogenetics) to estimate the substitution rate of a set of heterochronous sequences and the dates of their most recent common ancestors. We demonstrate that the criterion to be optimized is piecewise parabolic, and provide an efficient algorithm to find the global minimum.Using sequences sampled at different locations also helps to trace transmission chains of an epidemic. In this respect, we used all available sequences (~3,500) of HIV-1 subtype C, responsible for nearly 50% of global HIV-1 infections, to estimate its major migratory flows on a worldwide scale and its geographic origin. Innovative tools, based on the principle of parsimony, combined with several statistical criteria were used to synthesize and interpret information in a large phylogeny representing all the studied sequences. Finally, the temporal and geographical origins of the HIV-1 subtype C in Senegal were further explored and more specifically for men who have sex with men
Glitia, Calin. "Optimisation des applications de traitement systématique intensives sur Systems-on-Chip". Electronic Thesis or Diss., Lille 1, 2009. http://www.theses.fr/2009LIL10070.
Texto completoIntensive signal processing applications appear in many application domains such as video processing or detection systems. These applications handle multidimensional data structures (mainly arrays) to deal with the various dimensions of the data (space, time, frequency). A specification language allowing the direct manipulation of these different dimensions with a high level of abstraction is a key to handling the complexity of these applications and to benefit from their massive potential parallelism. The Array-OL specification language is designed to do just that. In this thesis, we introduce an extension of Array-OL to express cycle dependences by the way of uniform inter-repetition dependences. We show that this specification language is able to express the main patterns of computation of the intensive signal processing domain. We discuss also the repetitive modeling of parallel applications, repetitive architectures and uniform mappings of the former to the latter, using the Array-OL concepts integrated into the Modeling and Analysis of Real-time and Embedded systems (MARTE) UML profile. High-level data-parallel transformations are available to adapt the application to the execution, allowing to choose the granularity of the flows and a simple expression of the mapping by tagging each repetition by its execution mode: data-parallel or sequential. The whole set of transformations was reviewed, extended and implemented as a part of the Gaspard2 co-design environment for embedded systems. With the introduction of the uniform dependences into the specification, our interest turns also on the interaction between these dependences and the high-level transformations. This is essential in order to enable the usage of the refactoring tools on the models with uniform dependences. Based on the high-level refactoring tools, strategies and heuristics can be designed to help explore the design space. We propose a strategy that allows to find good trade-offs in the usage of storage and computation resources, and in the parallelism (both task and data parallelism) exploitation, strategy illustrated on an industrial radar application
Sbeity, Hoda. "Optimisation sur un modèle de comportement pour la thérapie en oncologie". Versailles-St Quentin en Yvelines, 2013. http://www.theses.fr/2013VERS0038.
Texto completoSolid tumors in humans are believed to be caused by a sequence of genetic abnormalities that arise in both normal and premalignant cells. Understanding these sequences is important for improving cancer treatments, which can differ from chemotherapy to radiotherapy and surgery. In the past 15 years, molecular biologists and geneticists have uncovered some of the most basic mechanisms by which normal stem cells in certain tissues develop into cancerous tumors. This biological knowledge serves as a basis for various models of carcinogenesis. These biological theories can then be transformed into mathematical models, supported by relevant methods of statistical data analysis. Mathematical models will allow the novel biological findings to be quantitatively tested against human data, helping researchers develop efficient diagnostic, controlling, curative and preventive strategies for cancer. These models belong to different categories, including deterministic, state space, compartment and stochastic models. In this thesis, for the deterministic models, we summarize the mathematical models used to describe the evolution of cancer cells, as well as those used for drug delivery in chemotherapy. However, chemotherapy is a complex treatment mode that requires balancing the benefits of treating tumors with the adverse toxic side effects caused by the anti-cancer drugs. In reality, observations in biological cases are often presented in a fuzzy way. For this reason, we attempt to introduce probabilities, which are used in stochastic models. Among the various stochastic models that are able to describe biological processes, such as cancer, we have the following: the Moran Model, Wright-Fisher (WF) Model, Galton–Watson branching process (GWBP), Markov chain Processes, and Model of Moolgavkar, Venzon, and Knudson (MVK). With these models in mind, one of the goals of this thesis is to develop models to follow the evolution of this disease and simulate suitable chemotherapy treatments that cause the death of cancer. Some methods of computational optimization, genetic algorithms (GA) in particular, have proven useful in helping to strike the right balance. Another purpose of this thesis is to study how the GA optimization method can be used to follow the evolution of cancer and facilitate finding optimal chemotherapeutic treatments that cause the death of cancer cells with fewer side effects. All these ideas are summarize by generated our own strategy to optimize the treatment of chemotherapy using real protocols. Our strategy is defined as follows, i) The first step is to define the genre of cancer treated with his parameters, ii) The second step is to choose a real treatment protocol defined by the cancerologist, iii) The third step is to choose a deterministic / stochastic model that can describe the trajectory of cancer cells with / without treatment and iv) The last step is the application of the optimization method
Capítulos de libros sobre el tema "Optimisation sur modèles de substitution"
BELKHARROUBI, Lakhdar y Khadidja YAHYAOUI. "La résolution du problème d’équilibrage d’une chaîne de montage à modèles mixtes". En Optimisation et apprentissage, 93–119. ISTE Group, 2023. http://dx.doi.org/10.51926/iste.9071.ch4.
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