Дисертації з теми "Stratégie de génération de scénarios"
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Koné, Tchoya Florence. "Contribution à la démonstration de la sécurité du véhicule autonome, basée sur une stratégie de génération de scénarios, modélisée par niveaux d’abstraction et orientée par la sensibilité du VA, pour une validation par simulation." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0182.
This CIFRE thesis, carried out within Stellantis, provides a scenario generation strategy, modelled by levels of abstraction and oriented by the sensitivity of the AV, for a simulation-based validation process. This work is within the scope of the ISO PAS 21448 /SOTIF (Safety Of The Intended Functionality) standard.To do this, the approach followed is based on five contributions: (1) An analysis of the functional architecture of the AV and the highlighting of the challenges related to its safety validation: normative aspects, simulation chains, the presence of uncertainty in the operational environment of the AV. (2) The proposal of a conceptual framework (knowledge model) on which the scenario generation methodology to be proposed later will be based. (3) A summary of the indicators used in the literature, as well as those that we will use in our final generation strategy, including the sensitivity indicator. It also gives a structure of the system of scenario generation and simulation based validation of the safety of the AV, as well as the way in which the indicators will be exploited in this structure. (4) The proposal of a scenario generation heuristic and the estimation of the risk indicator associated with the AV. This fourth contribution is based on the elements developed in the previous contributions: the proposed conceptual model (contribution 2), the structure of the generation and validation system and the associated indicators (contribution 3). (5) Finally, the last contribution is an implementation of the previous proposals via a case study.Keywords: Autonomous Vehicle (AV), Safety Of The Intended Functionality (SOTIF), Functional performance limitation, Functional insufficiencies, Critical scenarios, Sensitivity metric, Scenarios generation strategy, Simulation-based Validation process
Faleh, Alaeddine. "Allocation stratégique d'actifs et ALM pour les régimes de retraite." Phd thesis, Université Claude Bernard - Lyon I, 2011. http://tel.archives-ouvertes.fr/tel-00689907.
Faleh, Alaeddine. "Allocation stratégique d’actifs et ALM pour les régimes de retraites." Thesis, Lyon 1, 2011. http://www.theses.fr/2011LYO10084.
This thesis focuses on the strategic asset allocation models and on their application for the financial reserve management of a pay-as-you-go (PAYG) retirement schemes, especially those with partial provision. The study of the reserve utility for a PAYG system and of their management still leaves a lot to be explored. Classical hypothesis are usually considered too restrictive for the description of the complex reserve evolution. New models and new results have been developed over three levels : economic scenario generation (ESG), numerical optimization techniques and the choice of optimal strategic asset allocation in the case of an Asset-Liability Management (ALM). For the generation of financial and economic scenarios, some ESG performance indicators have been studied. Also, we detailed and proposed to improve ESG construction, notably the choice of the correlation matrix between modelled variables. Then, a set of tools were presented so that we could estimate ESG parameters variety. This thesis has also paid particular attention to numerical techniques of optimum research, which is an important step for the asset allocation implementation. We developed a reflexion about a global optimisation algorithm of a non convex and a noisy function. The algorithm allows for simple modulating, through two parameters, the reiteration of evaluations at an observed point or the exploration of the noisy function at a new unobserved point. Then, we presented new ALM techniques based on stochastic programming. An application to the strategic asset allocation of a retirement scheme with partial provision is developed. A specific methodology for the scenario tree generation was proposed at this level. Finally, a comparative study between proposed ALM model and Fixed-Mix strategy based model was achieved. We also made a variety of a sensitivity tests to detect the impact of the input values changes on the output results, provided by our ALM model
Lacaze-Labadie, Rémi. "Planification et modèle graphique pour la génération dynamique de scénarios en environnements virtuels". Thesis, Compiègne, 2019. http://www.theses.fr/2019COMP2481/document.
Our work is related to the training of crisis management in virtual environments. The specification of possible unfoldings of events in a simulation is essential for human learning in a virtual environment. This allows both to propose and orchestrate personalized learning situations and also to bring the learner toward relevant and educative scenarios. The work presented in this thesis focuses on the dynamic generation of scenarios and their execution in a virtual environment. For that, we aim at a set of objectives that are often contradictory : the freedom of action of the user, the generation of various scenarios that respect the authorial intent, the narrative control and the capacity of the system to adapt to deviations fromthe learner. The different approaches of interactive storytelling tackle more or less some of these objectives, but it is difficult to satisfy them all, and this is the challenge of our work. In addition to these objectives, we also aim at facilitating the modeling of the narrative content, which is still a real issue today when it comes to model complex environments such as the ones related to crisis management. We propose an emergent approachwhere the scenario experienced by the learner will emerge fromthe interactions between the learner, the virtual characters and our narrative system MENTA. MENTA is in charge of the narrative control by proposing a set of adjustments (over the simulation) that satisfies narrative objectives chosen by the trainer (e. g., a list of specific skills). These adjustments take the form of a prescribed scenario that is generated by MENTA via a planning engine that we have coupled with fuzzy cognitive maps through a macro-operator FRAG. A FRAG is used to model FRAGment of scenario in the form of scripted sequences of actions/events. The originality of our approach relies on a strong coupling between planning and graphical models which preserves the exploration capability and the generative power of a planning engine (which contributes to the generation of various and adaptable scenarios), while facilitating the modeling of narrative content as well as the authorial intent thanks to fragments of scenario that are scripted by the author and used during the planning process. We have worked on a concrete application example of scenarios dealing with the management of a massive influx of victims. Then, we have implemented MENTA and generated scenarios related to this example. Finally, we have tested and analyzed the performance of our system
Benmohamed, Hcene. "ICTT@Lab : un environnement informatique pour la génération et l'exécution de scénarios de téléTP." Phd thesis, INSA de Lyon, 2007. http://tel.archives-ouvertes.fr/tel-00260916.
Varoquaux, Fabrice. "Mise au point d'une stratégie de suppression de semences en génération F2." Perpignan, 2000. http://www.theses.fr/2000PERP0372.
Kazarian-Vibert, Fabienne. "Etude de la génération de courant non inductive dans Tore Supra et application aux scénarios opérationnels d'un tokamak continu." Aix-Marseille 1, 1996. http://www.theses.fr/1996AIX11009.
Lafaysse, Matthieu. "Changement climatique et régime hydrologique d'un bassin alpin : génération de scénarios sur la Haute-Durance, méthodologie d'évaluation et incertitudes associées." Toulouse 3, 2011. http://thesesups.ups-tlse.fr/1679/.
The impact of global change on regional climates and in turn on water resources is expected to be especially pronounced in mountainous areas. Future hydrological scenarios required for impact studies are usually simulated by forcing an hydrological impact model (HM) with high-resolution meteorological scenarios, obtained from statistical downscaling models (SDMs) forced by climate models (GCMs or RCMs) outputs. These SDMs are expected to fill the gap between the poor resolution and the bias of climate models scenarios and the requirements of impact models. Although a number of projections are currently performed worldwide, the relevance of the simulation chain GCM/SDM/MH is rarely discussed. We present here an evaluation framework to illustrate the possibilities and/or the difficulties to transfer in time these algorithms. We next illustrate the uncertainties in future meteorological and hydrological projections that can result from this imperfect transferability. Simulations and evaluations are performed for the Upper Durance Basin (3580 km2). The hydrological model SIM from Météo-France is adapted for the alpine context. We consider several configurations of 3 SDMs from CERFACS, LTHE and EDF, based on different atmospheric predictors. 12 climatic runs from the ENSEMBLES european project provide the large scale fields for the 1860-2100 period. In this context, the SDMs and GCMs related uncertainties are of the same order of magnitude
Jabri, Sana. "Génération de scénarios de tests pour la vérification de systèmes complexes et répartis : application au système européen de signalisation ferroviaire (ERTMS)." Phd thesis, Ecole Centrale de Lille, 2010. http://tel.archives-ouvertes.fr/tel-00584308.
Casal, Laurène. "Evaluation de scénarios de gestion paysagère de l’azote par modélisation en bassins versants agricoles." Thesis, Rennes, Agrocampus Ouest, 2018. http://www.theses.fr/2018NSARD085/document.
Environmental issues related to the excess of reactive nitrogen of agricultural origin activity, are still a major concern in France despite restrictive regulations. To reconcile sustained agricultural production and reduced nitrogen emissions, we identified innovative mitigation strategies and simulated their effects were simulated using distributed agro-hydrological models. The approach consisted in farm surveys in two contrasted situations (NW and SW of France) a basis to simulate the following scenarios :i) optimisation of agricultural practices according to the 5th action programme of the Nitrate Directive ii) conversion of agricultural land into environmental zones (unmanaged grasslands), with varying extension and in different landscape positons. Results show the interest of locating them in an interception position (i.e. in humid zones around the stream network) rather than in headwater position, especially in the NW catchment were subsurface flow is the dominant pathway. This solution would reduce nitrate losses without increasing other nitrogen emissions
Nemecek, Daniel. "Une nouvelle génération d'oligonucléotides synthétiques utilisables en stratégie antisens : propriétés d'hybridation et stabilité des complexes formés avec leurs compléments d'ADN naturel." Paris 6, 2005. http://www.theses.fr/2005PA066012.
Nuninger, Walter. "Stratégie de diagnostic robuste à l'aide de la redondance analytique." Vandoeuvre-les-Nancy, INPL, 1997. http://docnum.univ-lorraine.fr/prive/INPL_T_1997_NUNINGER_W.pdf.
Chardon, Jérémy. "Intérêts de la méthode des analogues pour la génération de scénarios de précipitations à l'échelle de la France métropolitaine : Cohérence spatiale et adaptabilité du lien d'échelle." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENU044/document.
Hydrological scenarios required for the impact studies need to have unbiased meteorological scenarios adapted to the space and time scales of the considered hydro-systems. Hence, meteorological scenarios obtained from global climate models and/or numerical weather prediction models are not really appropriated. Outputs of these models have to be post-processed, which is often carried out thanks to Statistical Downscaling Methods (SDMs). Since the 2000's, SDMs are widely used for the generation of scenarios at a single site. The generation of relevant precipitation fields over large regions or hydro-systems is conversely not straightforward, in particular when the spatial consistency has to be satisfied. One strategy to fulfill this constraint is to use a SDM based on the search of past analog situations. In this PhD, we evaluate the ability of an Analog Model (AM) – where the analogy is applied to the geopotential heights 1000 and 500 hPa – for the generation of spatially coherent precipitation scenarios over the French metropolitan territory. In a first part, the spatial transferability of an AM is evaluated: the model appears to be usable for the generation of spatial coherent scenarios over territories covering several tens of thousands squared kilometers if no climatological barrier is met in between. In a second part, we evaluate the sensitivity of the prediction performance to the spatial aggregation of the predictand. The performance increases with the aggregation level as long as the large scale variables are good predictors of precipitation for the region under consideration. This performance increase has to be related to the decrease of the predictand variability. We finally explore the possibility of improving the local performance of the AM using additional local scale predictors. For each prediction day, the prediction is obtained from a parametric regression model, for which predictors and parameters are estimated from the analog dates. The resulting combined model noticeably allows increasing the prediction performance by adapting the downscaling link for each prediction day. The selected predictors for a given prediction depend on the large scale situation and on the considered region
Abdellatif-Kaddour, Olfa. "Contribution au test orienté propriété pour des systèmes de contrôle-commande : construction incrémentale de scénarios de test sélectionnés par la méthode du recuit simulé." Toulouse, INPT, 2003. http://www.theses.fr/2003INPT037H.
Platzer, Auriane. "Mécanique numérique en grandes transformations pilotée par les données : De la génération de données sur mesure à une stratégie adaptative de calcul multiéchelle." Thesis, Ecole centrale de Nantes, 2020. http://www.theses.fr/2020ECDN0041.
Computational mechanics is a field in which a large amount of data is both consumed and produced. On the one hand, the recent developments of experimental measurement techniques have provided rich data for the identification process of constitutive models used in finite element simulations. On the other hand, multiscale analysis produces a huge amount of discrete values of displacements, strains and stresses from which knowledge is extracted on the overall material behavior. The constitutive model then acts as a bottleneck between upstream and downstream material data. In contrast, Kirchdoerfer and Ortiz (Computer Methods in Applied Mechanics and Engineering, 304, 81-101) proposed a model-free computing paradigm, called data-driven computational mechanics. The material response is then only represented by a database of raw material data (strain-stress pairs). The boundary value problem is thus reformulated as a constrained distance minimization between (i) the mechanical strain-stress state of the body, and (ii) the material database. In this thesis, we investigate the question of material data coverage, especially in the finite strain framework. The data-driven approach is first extended to a geometrically nonlinear setting: two alternative formulations are considered and a finite element solver is proposed for both. Second, we explore the generation of tailored databases using a mechanically meaningful sampling method. The approach is assessed by means of finite element analyses of complex structures exhibiting large deformations. Finally, we propose a prototype multiscale data-driven solver, in which the material database is adaptively enriched
El, Banna Nadine. "La génération du stress oxydant comme stratégie thérapeutique anticancéreuse : Investigation des mécanismes d’action de la vitamine C, de l’auranofin et de leur combinaison." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS232.
Reactive oxygen and nitrogen species (ROS, RNS) homeostasis and intracellular reductive/oxidative (redox) dynamics play a key role in regulating cell fate and are critical for normal cellular functions. Oxidative stress via the disruption of redox homeostasis can lead to aberrant cell signaling and toxic oxidative damage of DNA, lipids and proteins, and is therefore associated with human pathologies such as cancers. Cancer cells experience extensive redox deregulation and generally exhibit higher intrinsic basal oxidative stress than normal cells, as a consequence, they are more dependent on their antioxidant systems for survival. Thus, the administration of a drug generating additional ROS / RNS or inhibiting cellular antioxidant systems will exert a selective cytotoxicity towards cancer cells while sparing their normal counterparts. This is the biological basis for « redox-based anticancer therapy ». The work described here aims to investigate the redox-based anticancer activity of vitamin C (VitC) and auranofin (AUF), as single drugs or in combination, in breast cancer model. VitC at high pharmacological concentrations shows pro-oxidant properties. In this study, we showed that VitC anticancer activity against breast cancer cell lines was associated to extracellular and intracellular generation of hydrogen peroxide (H₂O₂), accompanied by the oxidation of intracellular glutathione (GSH). A “redoxome” proteomics approach revealed that VitC induces alterations of the redox state of key antioxidant enzymes and a number of cysteines-containing proteins including many proteins involved in RNA and DNA metabolisms and energetic processes. Cell cycle arrest and translation inhibition are associated with VitC-induced cytotoxicity. Finally, bioinformatics analysis and biological experiments identified that peroxiredoxin 1 (PRDX1) expression levels correlate with VitC differential cytotoxicity in breast cancer cells. AUF, an antirheumatic drug and known inhibitor of thioredoxin reductases, has been repurposed recently as a potent anticancer drug. We showed that AUF acts on both the thioredoxin and GSH systems and its impact on GSH system is essential for its anticancer activity. AUF alters the redox state of a number of nucleic acid-binding proteins involved in cell proliferation, cell division and cell cycle, triggering dNTP depletion and cell cycle arrest. Importantly, we observed that the combination of AUF and VitC reveals a synergetic and H₂O₂-mediated cytotoxicity towards MDA-MB-231 cells and other breast cancer cell lines without much impact on normal cells, thus decreasing the cytotoxic concentrations of AUF or VitC single drug. The anticancer potential of AUF/VitC combinations was validated in vivo on MDA-MB-231 xenografts in mice without notable side effects, while administration of AUF or VitC as a single agent failed to suppress tumor growth. Finally, SILAC proteomics, bioinformatics analysis, and functional experiments linked prostaglandin reductase 1 (PTGR1) expression levels with breast cancer cell response to AUF/VitC combination, thus identifying a potential predictive biomarker. Overall, these results provide new insights into the anticancer mechanisms of VitC and AUF, as single drugs and in combination. In particular, this combination of two non-toxic and commonly available drugs could be efficient against triple-negative breast cancer and potentially other cancers with similar redox properties. Further assessment in preclinical and clinical studies of these drugs and combinations could open new avenues for redox-based anticancer therapy
Cabrera, Castillos Kalou. "Génération automatique de scénarios de tests à partir de propriétés temporelles et de modèles comportementaux." Phd thesis, Université de Franche-Comté, 2013. http://tel.archives-ouvertes.fr/tel-00924485.
Broult, Christophe. "LPV, une nouvelle technologie de validation du logiciel basée sur la programmation linéaire : application informelle "en éclaireur" à la génération de scénarios de test non triviaux pour les cartes à microprocesseur." Caen, 1999. http://www.theses.fr/1999CAEN2074.
Nesvijevskaia, Anna. "Phénomène Big Data en entreprise : processus projet, génération de valeur et Médiation Homme-Données." Thesis, Paris, CNAM, 2019. http://www.theses.fr/2019CNAM1247.
Big Data, a sociotechnical phenomenon carrying myths, is reflected in companies by the implementation of first projects, especially Data Science projects. However, they do not seem to generate the expected value. The action-research carried out over the course of 3 years in the field, through an in-depth qualitative study of multiple cases, points to key factors that limit this generation of value, including overly self-contained project process models. The result is (1) an open data project model (Brizo_DS), orientated on the usage, including knowledge capitalization, intended to reduce the uncertainties inherent in these exploratory projects, and transferable to the scale of portfolio management of corporate data projects. It is completed with (2) a tool for documenting the quality of the processed data, the Databook, and (3) a Human-Data Mediation device, which guarantee the alignment of the actors towards an optimal result
Abdallah, Rouwaida. "Implementability of distributed systems described with scenarios." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2013. http://tel.archives-ouvertes.fr/tel-00919684.
Chauvin, Simon. "Un modèle narratif pour les jeux vidéo émergents." Electronic Thesis or Diss., Paris, CNAM, 2019. http://www.theses.fr/2019CNAM1261.
This thesis aims to create and evaluate a narrative model for emergent videogames that make extensive use of procedurally generated content. As such, an application of this model is presented within the videogame Minecraft. The usual approach to narratives in videogames can hardly be applied to experiences of play that involve more freedom from the player's perspective, such as what offer emergents videogames. Thus, we aim to provide players with the means to explicitly alter the story in real time, thanks to a context sensitive and modular narrative form. First, we explore the relationship betweenstorytelling and interactivity by studying the various roles held by narratives in videogames. Then, we identify the properties that define emergent videogames to better expose the narrative challenges they represent. Next, we detail our proposal of a narrative model suitable for emergent games as well as the architecture allowing players to transform the story in real time. Finally, we present an experiment in which we evaluate the validity of our narrative model in the context of emergent videogames
Hussaan, Aarij. "Generation of Adaptive Pedagogical Scenarios in Serious Games." Thesis, Lyon 1, 2012. http://www.theses.fr/2012LYO10346.
A serious game is a game whose principal objective is other than only entertainment. In this thesis, we are interested in a particular type of serious games: the learning games. These games make the learning process more attractive and amusing through fun-based challenges that increase the motivation and engagement of learners. In this context, this thesis focuses on the problem of the automatic generation of pedagogical scenarios in the learning games. It is thus a question of apprehending the integration of a pedagogical scenario with computer games within the context of learning games. By pedagogical scenario, we mean a suite of pedagogical activities, integrated in a learning game, allowing a learner to achieve one or more pedagogical objectives. The objective of our research is to define representation and reasoning models allowing the generation of adaptive pedagogical scenarios which can be used in serious games, in particular the learning games. The generated scenarios should take into account the user’s profile, pedagogical goals and also his interaction traces. The traces get used to update the user profile and to evolve the domain knowledge. The proposed knowledge representation model allows organizing the domain knowledge in three-layer architecture: the domain concepts layer, the pedagogical resources layer and the game resources layer. For each of these layers, we have proposed an adapted formalization. The generic organization of knowledge allows evolving the elements of a layer without changing or affecting the elements of other layers. Similarly, it allows putting into relation the same domain knowledge with different games.As for the scenario generation model, it comprises of three successive steps. Firstly, starting from the user profile and his pedagogical objectives, it generates a conceptual scenario. This consists in selecting a certain number of concepts, among the domain concepts of the first layer, allowing satisfying the targeted concepts. These targeted concepts represent the pedagogical objectives of the user. The conceptual scenario is then transformed into the pedagogical scenario. For this, it requires to select for each concept in the conceptual scenario one or many pedagogical resources in relation with the concept in question. This selection takes into account the presentation model and the adaptation knowledge. The former allows structuring the pedagogical resources according to their type. The adaptation knowledge allows setting the difficulty level for each pedagogical resource in the pedagogical scenario. The third and final step consists in putting into relation the pedagogical resources of the pedagogical scenario with the game resources keeping into account the game model. On the basis of the proposed models of representation and reasoning, we have developed the platform GOALS (Generator Of Adaptive Learning Scenarios). It is a platform, generic and accessible on-line, allowing the generation of adaptive pedagogical scenarios. This platform has been used in the context of a serious game for the evaluation and reeducation of cognitive troubles within the context of the FUI project CLES (Cognitive Linguistic Elements Stimulations). To validate our contribution, we have conducted several evaluations in the context of project CLES. The objective of these evaluations is two-fold; firstly, to validate the scenario generator models, secondly, to study the impact of the scenarios generated by GOALS on the learning of users. For these two objectives, we have proposed two evaluation protocols. These protocols have been put into practice in the context of two field experiments
Chauvin, Simon. "Un modèle narratif pour les jeux vidéo émergents." Thesis, Paris, CNAM, 2019. http://www.theses.fr/2019CNAM1261/document.
This thesis aims to create and evaluate a narrative model for emergent videogames that make extensive use of procedurally generated content. As such, an application of this model is presented within the videogame Minecraft. The usual approach to narratives in videogames can hardly be applied to experiences of play that involve more freedom from the player's perspective, such as what offer emergents videogames. Thus, we aim to provide players with the means to explicitly alter the story in real time, thanks to a context sensitive and modular narrative form. First, we explore the relationship betweenstorytelling and interactivity by studying the various roles held by narratives in videogames. Then, we identify the properties that define emergent videogames to better expose the narrative challenges they represent. Next, we detail our proposal of a narrative model suitable for emergent games as well as the architecture allowing players to transform the story in real time. Finally, we present an experiment in which we evaluate the validity of our narrative model in the context of emergent videogames
Gerossier, Alexis. "Short-term forecasting of electricity demand of smart homes and distribution grids." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEM056.
This thesis is devoted to the short-term forecasting of electricity demand of smart homes and distribution grids. The household demand data provided by smart meters is analyzed to characterize the electricity demand at the local scale and compared to this at the regional scale, so as to examine the aggregation effect. This thorough analysis enables the designing of models that forecast the future demand. The models make use of advanced statistical tools and machine-learning techniques. The inputs are selected with special care for their relevancy to the household demand. To be deployed in an operational environment, the models must be replicable: low to no maintenance, adaptability to various situations, and robustness to the lack of data. Several demand forecasting products are developed and compared to actual datasets: probabilistic forecasts at different temporal and spatial resolutions, and daily demand scenarios. Finally, the habits related to a domestic appliance, namely the charging of an electric vehicle battery, are modeled in order to generate forecasting scenarios of the appliance demand
Sfayhi, Ahmed. "Génération automatique de configurations et de scénarios d'utilisation d'outils de visualisation à partir de spécifications de tâches d'analyse de logiciels." Thèse, 2015. http://hdl.handle.net/1866/12504.
We propose an approach that derives interactive visualization scenarios from descriptions of code analysis tasks. The scenario derivation is treated as an optimization process. In this context, we evaluate different possibilities of using a given visualization tool to perform the analysis task, and select the scenario that requires the least effort from the analyst. Our approach was applied successfully to various analysis tasks such as design defect detection and feature location.
Merle-Lucotte, Elsa. "Le cycle Thorium en réacteurs à sels fondus peut-il être une solution au problème énergétique du XXIème siècle ? Le concept de TMSR-NM." Habilitation à diriger des recherches, 2008. http://tel.archives-ouvertes.fr/tel-00354937.
Brosseau, Pierre-Olivier. "Environnement virtuel générateur d’émotions." Thèse, 2014. http://hdl.handle.net/1866/12832.
Emotions play an important role in daily decision-making. Indeed, they greatly influence how individuals interact with their environment. In this study, we first designed a virtual driving environment and various emotion-inducing scenarios using the Belief-Desire-Intention method. We evaluated the effectiveness of these scenarios with a group of 30 people and an EEG headset to measure the emotions. Over 70% of scenarios designed with this method induced the emotion that had been anticipated in 52% to 76% of the participants. The second phase of this experiment is the reduction of emotions with a corrective agent. We noted an efficiency in reducing emotions ranging from 36.4% to 70.0% of the participants through the different scenarios.
Azi, Nabila. "Méthodes exactes et heuristiques pour le problème de tournées de véhicules avec fenêtres de temps et réutilisation de véhicules." Thèse, 2010. http://hdl.handle.net/1866/4876.
This thesis studies vehicle routing problems with time windows, where a gain is associated with each customer and where the objective is to maximize the total gain collected minus the routing costs. Furthermore. the same vehicle might be assigned to different routes during the planning horizon. This problem has received little attention in the literature in spite of its importance in practice. For example, in the home delivery of perishable goods (like food), routes of short duration must be combined to form complete workdays. We believe that this type of problem will become increasingly important in the future with the advent of electronic services, like e-groceries, where customers can order goods through the Internet and get these goods delivered at home. In the first chapter of this thesis, we present a review of vehicle routing problems with gains, as well as vehicle routing problems with multiple use of vehicles. We discuss the general classes of problem-solving approaches for these problems, namely, exact methods, heuristics and metaheuristics. We also introduce dynamic vehicle routing problems, where new information is revealed as the routes are executed. In the second chapter, we describe an exact algorithm for a vehicle routing problem with time windows and multiple use of vehicles, where the first objective is to maximize the number of served customers. To this end, the problem is modeled as a vehicle routing problem with gains. The exact algorithm is based on column generation, coupled with an elementary shortest path algorithm with resource constraints. To solve realistic instances in reasonable computation times, a heuristic approach is required. The third chapter proposes an adaptative large neighborhood search where the various hierarchical levels of the problem are exploited (i.e., complete vehicle workdays, routes within workdays and customers within routes). The fourth chapter deals with the dynamic case. In this chapter, a strategy for accepting or rejecting new customer requests is proposed. This strategy is based on the generation of multiple scenarios for different realizations of the requests in the future. An opportunity cost for serving a new request is then computed, based on an evaluation of the scenarios with and without the new request. Finally, the last chapter summarizes the contributions of this thesis and proposes future research avenues.