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Dissertations / Theses on the topic 'Objectifs de parité'

Author: Grafiati

Published: 4 April 2023

Last updated: 31 July 2025

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1

Sérée, Bastien. "Problèmes d'optimisation des les graphes paramétrés." Electronic Thesis or Diss., Ecole centrale de Nantes, 2022. http://www.theses.fr/2022ECDN0066.

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Nous considérons des graphes orientés pondérés dont l’énergie est paramétrée. Nous proposons dans un premier temps un algorithme qui, étant donné un graphe et un de ses sommets, renvoie des arbres, chaque arbre représentant les plus courtschemins depuis la source vers tous les autres sommets du graphe pour une zone particulière de l’espace des paramètres. De plus l’union de ces zones couvre l’espace des paramètres. Nous considérons ensuite l’accessibilité dans les graphes à énergie multidimensionnelle, avec un type de contraintes plus absolues qui imposent que l’énergie reste entre des bornes.

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2

Ismaïli, Anisse. "Algorithms for Nash-equilibria in Agent Networks and for Pareto-efficiency in State Space Search : Generalizations to Pareto-Nash in Multiple Objective Games." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066148.

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Un agent est un élément qui décide une action. Par ce formalisme très général on peut aussi bien désigner deux enfants jouant à pierre-papier-ciseaux, des êtres humains choisissant des produits sur un marché, un logiciel de routage calculant un plus court chemin sur Internet pour transporter des informations sur des routes numériques encombrées, qu’une enchère combinatoire automatique pour vendre des liens commerciaux et rapportant des milliards à google. Les chercheurs en théorie de la décision algorithmique et en théorie des jeux algorithmique – des mathématiciens et informaticiens – aiment

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Ismaïli, Anisse. "Algorithms for Nash-equilibria in Agent Networks and for Pareto-efficiency in State Space Search : Generalizations to Pareto-Nash in Multiple Objective Games." Electronic Thesis or Diss., Paris 6, 2016. http://www.theses.fr/2016PA066148.

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Un agent est un élément qui décide une action. Par ce formalisme très général on peut aussi bien désigner deux enfants jouant à pierre-papier-ciseaux, des êtres humains choisissant des produits sur un marché, un logiciel de routage calculant un plus court chemin sur Internet pour transporter des informations sur des routes numériques encombrées, qu’une enchère combinatoire automatique pour vendre des liens commerciaux et rapportant des milliards à google. Les chercheurs en théorie de la décision algorithmique et en théorie des jeux algorithmique – des mathématiciens et informaticiens – aiment

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4

Rohling, Gregory Allen. "Multiple Objective Evolutionary Algorithms for Independent, Computationally Expensive Objectives." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4835.

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This research augments current Multiple Objective Evolutionary Algorithms with methods that dramatically reduce the time required to evolve toward a region of interest in objective space. Multiple Objective Evolutionary Algorithms (MOEAs) are superior to other optimization techniques when the search space is of high dimension and contains many local minima and maxima. Likewise, MOEAs are most interesting when applied to non-intuitive complex systems. But, these systems are often computationally expensive to calculate. When these systems require independent computations to evaluate each object

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5

Teo, Jason T. W. Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "Pareto multi-objective evolution of legged embodied organisms." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2003. http://handle.unsw.edu.au/1959.4/38682.

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The automatic synthesis of embodied creatures through artificial evolution has become a key area of research in robotics, artificial life and the cognitive sciences. However, the research has mainly focused on genetic encodings and fitness functions. Considerably less has been said about the role of controllers and how they affect the evolution of morphologies and behaviors in artificial creatures. Furthermore, the evolutionary algorithms used to evolve the controllers and morphologies are pre-dominantly based on a single objective or a weighted combination of multiple objectives, and a large

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6

Ribeiro, Marco Tulio Correia. "Multi-objective pareto-efficient algorithms for recommender systems." Universidade Federal de Minas Gerais, 2013. http://hdl.handle.net/1843/ESSA-9CHG5H.

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Recommender systems are quickly becoming ubiquitous in applications such as ecommerce, social media channels and content providers, acting as enabling mechanisms designed to overcome the information overload problem by improving browsing and consumption experience. A typical task in recommender systems is to output a ranked list of items, so that items placed higher in the rank are more likely to be interesting to the users. Interestingness measures include how accurate, novel and diverse the suggested items are, and the objective is usually to produce ranked lists optimizing one of these meas

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7

Nordström, Peter. "Multi-objective optimization and Pareto navigation for voyage planning." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-220338.

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The shipping industry is very large and ships require a substantial amount of fuel. However, fuel consumption is not the only concern. Time of arrival, safety concerns, distance travelled etc. are also of importance and these objectives might be inherently conflicting. This thesis aims to demonstrate multi-objective optimization and Pareto navigation for application in voyage planning. In order to perform this optimization, models of weather, ocean conditions, ship dynamics and propulsion system are needed. Statistical methods for estimation of resistance experienced in calm and rough sea are

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8

Zeng, Rong-Qiang. "Métaheuristiques multi-objectif basées sur des voisinages pour l'approximation d'ensembles de pareto." Angers, 2012. http://www.theses.fr/2012ANGE0054.

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L'intérêt porté sur l'optimisation multi-objectif n'a cessé de croitre ces vingt dernières années. L'objectif est de trouver l'ensemble des solutions Pareto, qui correspondent aux meilleurs compromis possibles sur un ensemble d'objectifs que l'on cherche à optimiser. En général, il n'est pas possible de calculer cet ensemble de manière exacte, c'est pourquoi de nombreuses méthodes heuristiques multi-objectif ont été proposées afin de trouver des approximations de cet ensemble. Cette thèse s'intéresse au développement de métaheuristiques pour l'optimisation multi-objectif de problèmes difficile

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9

Zhong, Hongliang. "Bandit feedback in Classification and Multi-objective Optimization." Thesis, Ecole centrale de Marseille, 2016. http://www.theses.fr/2016ECDM0004/document.

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Des problèmes de Bandit constituent une séquence d’allocation dynamique. D’une part, l’agent de système doit explorer son environnement ( à savoir des bras de machine) pour recueillir des informations; d’autre part, il doit exploiter les informations collectées pour augmenter la récompense. Comment d’équilibrer adéquatement la phase d’exploration et la phase d’exploitation, c’est une obscurité des problèmes de Bandit, et la plupart des chercheurs se concentrent des efforts sur les stratégies d’équilibration entre l’exploration et l’exploitation. Dans cette dissertation, nous nous concentrons s

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10

Cvetkovic, Dragan. "Evolutionary multi-objective decision support systems for conceptual design." Thesis, University of Plymouth, 2000. http://hdl.handle.net/10026.1/2328.

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In this thesis the problem of conceptual engineering design and the possible use of adaptive search techniques and other machine based methods therein are explored. For the multi-objective optimisation (MOO) within conceptual design problem, genetic algorithms (GA) adapted to MOO are used and various techniques explored: weighted sums, lexicographic order, Pareto method with and without ranking, VEGA-like approaches etc. Large number of runs are performed for findingZ Dth e optimal configuration and setting of the GA parameters. A novel method, weighted Pareto method is introduced and applied

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Hartley, A. C. "The theory of parity non-conservation in atoms." Thesis, University of Oxford, 1989. https://ora.ox.ac.uk/objects/uuid:24d852a0-0f6f-4fea-8b41-db6a0b02b7c4.

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In this thesis we are concerned with calculating the parity non-conserving (PNC) E1 transition matrix elements for the caesium 6s<sup>1</sup>&frasl;<sub>2</sub> â 7s<sup>1</sup>&frasl;<sub>2</sub> transition and the thallium 6p<sup>1</sup>&frasl;<sub>2</sub> â 7p<sup>1</sup>&frasl;<sub>2</sub> and 6p<sup>1</sup>&frasl;<sub>2</sub> â 6p<sup>3</sup>&frasl;<sub>2</sub> transitions using the Equations of Motion (EOM) formalism. We add the weak interaction Hamiltonian to derive the PNC EOM. Taking a subset of the EOM terms gives the Random Phase Approximation equations and their PNC counte

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12

Jamain, Florian. "Représentations discrètes de l'ensemble des points non dominés pour des problèmes d'optimisation multi-objectifs." Phd thesis, Université Paris Dauphine - Paris IX, 2014. http://tel.archives-ouvertes.fr/tel-01070041.

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Le but de cette thèse est de proposer des méthodes générales afin de contourner l'intractabilité de problèmes d'optimisation multi-objectifs.Dans un premier temps, nous essayons d'apprécier la portée de cette intractabilité en déterminant une borne supérieure, facilement calculable, sur le nombre de points non dominés, connaissant le nombre de valeurs prises par chaque critère.Nous nous attachons ensuite à produire des représentations discrètes et tractables de l'ensemble des points non dominés de toute instance de problèmes d'optimisation multi-objectifs. Ces représentations doivent satisfair

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13

Oujebbour, Fatima Zahra. "Méthodes et applications industrielles en optimisation multi-critère de paramètres de processus et de forme en emboutissage." Phd thesis, Université Nice Sophia Antipolis, 2014. http://tel.archives-ouvertes.fr/tel-00976639.

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Face aux exigences concurrentielles et économiques actuelles dans le secteur automobile, l'emboutissage a l'avantage, comme étant un procédé de mise en forme par grande déformation, de produire, en grandes cadences, des pièces de meilleure qualité géométrique par rapport aux autres procédés de fabrication mécanique. Cependant, il présente des difficultés de mise en œuvre, cette dernière s'effectue généralement dans les entreprises par la méthode classique d'essai-erreur, une méthode longue et très coûteuse. Dans la recherche, le recours à la simulation du procédé par la méthode des éléments fi

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14

Nguyen, Minh Hieu. "Bi-objective optimization with proportional fairness." Electronic Thesis or Diss., Université Clermont Auvergne (2021-...), 2024. http://www.theses.fr/2024UCFA0036.

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L'optimisation combinatoire bi-objectif (BOCO) est un type de prise de décision multicritère avec de nombreuses applications dans différents domaines scientifiques, tels que l'économie, la chaîne d'approvisionnement, les télécommunications, l'informatique et les choix sociaux. Cela implique d'optimiser simultanément deux fonctions objectives (de conflit) dans un ensemble fini et réalisable de vecteurs de décision. Pour BOCO, le concept de solution Pareto-optimale (non dominée) joue un rôle important car il distingue les solutions efficaces et non efficaces. Sur la base de ce concept, les métho

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Cáceres, Sepúlveda Geraldine. "Relevance of Multi-Objective Optimization in the Chemical Engineering Field." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39783.

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The first objective of this research project is to carry out multi-objective optimization (MOO) for four simple chemical engineering processes to clearly demonstrate the wealth of information on a given process that can be obtained from the MOO instead of a single aggregate objective function. The four optimization case studies are the design of a PI controller, an SO2 to SO3 reactor, a distillation column and an acrolein reactor. Results that were obtained from these optimization case studies show the benefit of generating and using the Pareto domain to gain a deeper understanding of the unde

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16

Amouzgar, Kaveh. "Multi-objective optimization using Genetic Algorithms." Thesis, Högskolan i Jönköping, Tekniska Högskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-19851.

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In this thesis, the basic principles and concepts of single and multi-objective Genetic Algorithms (GA) are reviewed. Two algorithms, one for single objective and the other for multi-objective problems, which are believed to be more efficient are described in details. The algorithms are coded with MATLAB and applied on several test functions. The results are compared with the existing solutions in literatures and shows promising results. Obtained pareto-fronts are exactly similar to the true pareto-fronts with a good spread of solution throughout the optimal region. Constraint handling techniq

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17

Götz, Sebastian, Thomas Kühn, Christian Piechnick, Georg Püschel, and Uwe Aßmann. "A Models@run.time Approach for Multi-objective Self-optimizing Software." Springer, 2014. https://tud.qucosa.de/id/qucosa%3A75372.

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This paper presents an approach to operate multi-objective self-optimizing software systems based on the models@run.time paradigm. In contrast to existing approaches, which are usually specific to a single or selected set of objectives (e.g., performance and/or reliability), the presented approach is generic in that it allows the software architect to model the relevant concerns of interest to self-optimization. At runtime, these models are interpreted and used to generate optimization problems. To evaluate the applicability of the approach, a scalability analysis is provided, showing the appr

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Amouzgar, Kaveh. "Metamodel based multi-objective optimization." Licentiate thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Produktutveckling - Simulering och optimering, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-28432.

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As a result of the increase in accessibility of computational resources and the increase in the power of the computers during the last two decades, designers are able to create computer models to simulate the behavior of a complex products. To address global competitiveness, companies are forced to optimize their designs and products. Optimizing the design needs several runs of computationally expensive simulation models. Therefore, using metamodels as an efficient and sufficiently accurate approximate of the simulation model is necessary. Radial basis functions (RBF) is one of the several met

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Bahri, Oumayma. "A fuzzy framework for multi-objective optimization under uncertainty." Thesis, Lille 1, 2017. http://www.theses.fr/2017LIL10030/document.

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Cette thèse est consacrée à l'étude de l’optimisation combinatoire multi-objective sous incertitudes. Plus particulièrement, nous abordons les problèmes multi-objectifs contenant des données floues qui sont exprimées par des nombres triangulaires floues. Pour faire face à ce type de problèmes, notre idée principale est d’étendre les concepts multi-objectifs classiques au contexte flou. Nous proposons, dans un premier temps, une nouvelle approche Pareto entre des objectifs flous (i.e. vecteurs des nombres triangulaires flous). Ensuite, nous étendons des méta-heuristiques basées sur Pareto afin

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Lemesre, Julien. "Méthodes exactes pour l'optimisation combinatoire multi-objectif : conception et application." Lille 1, 2006. https://pepite-depot.univ-lille.fr/RESTREINT/Th_Num/2006/50376_2006_278.pdf.

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Cette thèse s'inscrit dans le domaine de l'optimisation combinatoire multi-objectif. Elle porte, plus particulièrement, sur les méthodes de résolution exacte trouvant l'intégralité du front Pareto. Pour tester et comparer nos méthodes, nous utilisons un problème de flow-shop multiobjectif (problème d 'ordonnancement). Nous présentons différentes méthodes exactes de la littérature et analysons leurs périmètres d'utilisation efficace. Afin de résoudre le problème de flow-shop bi-objectif, nous proposons en premier lieu une application de la méthode deux phases optimisée en fonction des spécifici

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Yoshikawa, Tomohiro, Daisuke Yamashiro, and Takeshi Furuhashi. "A Proposal of Visualization of Multi-Objective Pareto Solutions -Development of Mining Technique for Solutions-." IEEE, 2007. http://hdl.handle.net/2237/9482.

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Ireland, David John. "Dielectric Antennas and Their Realisation Using a Pareto Dominance Multi-Objective Particle Swarm Optimisation Algorithm." Thesis, Griffith University, 2010. http://hdl.handle.net/10072/365312.

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Antennas utilising a dielectric medium are technologies that have become popular in modern wireless platforms. They offer several desirable features such as high efficiency, electrically small and resistance to proximity detuning. Being a volumetric radiator however, realising a final, commercially competitive solution, often requires the use of a computational optimisation algorithm. In the realm of antenna design the practice of optimisation typically involves an automated routine consisting of a heuristic algorithm and a forward solving engine such as the finite element method (FEM) or fin

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Champion, Heather. "Beam angle and fluence map optimization for PARETO multi-objective intensity modulated radiation therapy treatment planning." Medical Physics, 2011. http://hdl.handle.net/1993/8910.

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In this work we introduce PARETO, a multiobjective optimization tool that simultaneously optimizes beam angles and fluence patterns in intensity-modulated radiation therapy (IMRT) treatment planning using a powerful genetic algorithm. We also investigate various objective functions and compare several parameterizations for modeling beam fluence in terms of fluence map complexity, solution quality, and run efficiency. We have found that the combination of a conformity-based Planning Target Volume (PTV) objective function and a dose-volume histogram or equivalent uniform dose -based objective

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Vandervoort, Allan. "New Multi-Objective Optimization Techniques and Their Application to Complex Chemical Engineering Problems." Thesis, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/19785.

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In this study, two new Multi-Objective Optimization (MOO) techniques are developed. The two new techniques, the Objective-Based Gradient Algorithm (OBGA) and the Principal Component Grid Algorithm (PCGA), were developed with the goals of improving the accuracy and efficiency of the Pareto domain approximation relative to current MOO techniques. Both methods were compared to current MOO techniques using several test problems. It was found that both the OBGA and PCGA systematically produced a more accurate Pareto domain than current MOO techniques used for comparison, for all problems studied. T

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Good, Nathan Andrew. "Multi-Objective Design Optimization Considering Uncertainty in a Multi-Disciplinary Ship Synthesis Model." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/34532.

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Multi-disciplinary ship synthesis models and multi-objective optimization techniques are increasingly being used in ship design. Multi-disciplinary models allow designers to break away from the traditional design spiral approach and focus on searching the design space for the best overall design instead of the best discipline-specific design. Complex design problems such as these often have high levels of uncertainty associated with them, and since most optimization algorithms tend to push solutions to constraint boundaries, the calculated "best" solution might be infeasible if there are min

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Hou, Ruizhe. "Optimal Latin Hypercube Designs for Computer Experiments Based on Multiple Objectives." Scholar Commons, 2018. http://scholarcommons.usf.edu/etd/7169.

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Latin hypercube designs (LHDs) have broad applications in constructing computer experiments and sampling for Monte-Carlo integration due to its nice property of having projections evenly distributed on the univariate distribution of each input variable. The LHDs have been combined with some commonly used computer experimental design criteria to achieve enhanced design performance. For example, the Maximin-LHDs were developed to improve its space-filling property in the full dimension of all input variables. The MaxPro-LHDs were proposed in recent years to obtain nicer projections in any subspa

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Kamali, Aslan. "Developing a Decision Making Approach for District Cooling Systems Design using Multi-objective Optimization." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-208228.

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Energy consumption rates have been dramatically increasing on a global scale within the last few decades. A significant role in this increase is subjected by the recent high temperature levels especially at summer time which caused a rapid increase in the air conditioning demands. Such phenomena can be clearly observed in developing countries, especially those in hot climate regions, where people depend mainly on conventional air conditioning systems. These systems often show poor performance and thus negatively impact the environment which in turn contributes to global warming phenomena. In r

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Adam, Zaeinulabddin Mohamed Ahmed. "Development and Applications of Multi-Objectives Signal Control Strategy during Oversaturated Conditions." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/28739.

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Managing traffic during oversaturated conditions is a current challenge for practitioners due to the lack of adequate tools that can handle such situations. Unlike under-saturated conditions, operation of traffic signal systems during congestion requires careful consideration and analysis of the underlying causes of the congestion before developing mitigation strategies. The objectives of this research are to provide a practical guidance for practitioners to identify oversaturated scenarios and to develop a multi-objective methodology for selecting and evaluating mitigation strategy/ or combin

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Ujihara, Rintaro. "Multi-objective optimization for model selection in music classification." Thesis, KTH, Optimeringslära och systemteori, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298370.

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With the breakthrough of machine learning techniques, the research concerning music emotion classification has been getting notable progress combining various audio features and state-of-the-art machine learning models. Still, it is known that the way to preprocess music samples and to choose which machine classification algorithm to use depends on data sets and the objective of each project work. The collaborating company of this thesis, Ichigoichie AB, is currently developing a system to categorize music data into positive/negative classes. To enhance the accuracy of the existing system, thi

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Hopkins, Scott Dale. "Modeling and Multi-Objective Optimization of the Helsinki District Heating System and Establishing the Basis for Modeling the Finnish Power Network." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23096.

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Due to an increasing awareness of the importance of sustainable energy use, multi-objective optimization problems for upper-level energy systems are continually being developed and improved. This paper focuses on the modeling and optimization of the Helsinki district heating system and establishing the basis for modeling the Finnish power network. The optimization of the district heating system is conducted for a twenty four hour winter demand period. Partial load behavior of the generators is included by introducing non-linear functions for costs, emissions, and the exergetic efficiency. A fu

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Ordaz, Irian. "A probabilistic and multi-objective conceptual design methodology for the evaluation of thermal management systems on air-breathing hypersonic vehicles." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26478.

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Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Mavris, Dimitri N.; Committee Member: German, Brian J.; Committee Member: Osburg, Jan; Committee Member: Ruffin, Stephen M.; Committee Member: Schrage, Daniel P.. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Nikolaou, Christos. "A multi-objective genetic algorithm optimisation using variable speed pumps in water distribution systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/6819/.

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Due to its practical importance and inherent complexity, the optimisation of distribution networks for supplying drinking water has been the subject of extensive study for the past 30 years. The optimization is governed by sizing the pipes in the water distribution network (WDN) and / or optimises specific parts of the network such as pumps, tanks etc. or try to analyse and optimise the reliability of a WDN. In this thesis, the author has analysed two different WDNs (Anytown City and Cabrera city networks), trying to solve and optimise a multi-objective optimisation problem (MOOP). The main

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Binois, Mickaël. "Uncertainty quantification on pareto fronts and high-dimensional strategies in bayesian optimization, with applications in multi-objective automotive design." Thesis, Saint-Etienne, EMSE, 2015. http://www.theses.fr/2015EMSE0805/document.

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Cette thèse traite de l’optimisation multiobjectif de fonctions coûteuses, aboutissant à laconstruction d’un front de Pareto représentant l’ensemble des compromis optimaux. En conception automobile, le budget d’évaluations est fortement limité par les temps de simulation numérique des phénomènes physiques considérés. Dans ce contexte, il est courant d’avoir recours à des « métamodèles » (ou modèles de modèles) des simulateurs numériques, en se basant notamment sur des processus gaussiens. Ils permettent d’ajouter séquentiellement des observations en conciliant recherche locale et exploration.

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Daskilewicz, Matthew John. "Methods for parameterizing and exploring Pareto frontiers using barycentric coordinates." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47658.

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The research objective of this dissertation is to create and demonstrate methods for parameterizing the Pareto frontiers of continuous multi-attribute design problems using barycentric coordinates, and in doing so, to enable intuitive exploration of optimal trade spaces. This work is enabled by two observations about Pareto frontiers that have not been previously addressed in the engineering design literature. First, the observation that the mapping between non-dominated designs and Pareto efficient response vectors is a bijection almost everywhere suggests that points on the Pareto frontier c

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Deng, Qichen. "Antenna Optimization in Long-Term Evolution Networks." Thesis, KTH, Optimeringslära och systemteori, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-119147.

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The aim of this master thesis is to study algorithms for automatically tuning antenna parameters to improve the performance of the radio access part of a telecommunication network and user experience. There are four dierent optimization algorithms, Stepwise Minimization Algorithm, Random Search Algorithm, Modied Steepest Descent Algorithm and Multi-Objective Genetic Algorithm to be applied to a model of a radio access network. The performances of all algorithms will be evaluated in this thesis. Moreover, a graphical user interface which is developed to facilitate the antenna tuning simulations

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NAIK, AMIT R. "TRADEOFF ANALYSIS FOR HELICAL GEAR REDUCTION UNITS." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1129591522.

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Le, Trung-Dung. "Gestion de masses de données dans une fédération de nuages informatiques." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S101.

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Les fédérations de nuages informatiques peuvent être considérées comme une avancée majeure dans l’informatique en nuage, en particulier dans le domaine médical. En effet, le partage de données médicales améliorerait la qualité des soins. La fédération de ressources permettrait d'accéder à toutes les informations, même sur une personne mobile, avec des données hospitalières distribuées sur plusieurs sites. En outre, cela permettrait d’envisager de plus grands volumes de données sur plus de patients et ainsi de fournir des statistiques plus fines. Les données médicales sont généralement conforme

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Faccioli, Rodrigo Antonio. "Algoritmo híbrido multi-objetivo para predição de estrutura terciária de proteínas." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-15052007-153736/.

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Muitos problemas de otimização multi-objetivo utilizam os algoritmos evolutivos para encontrar as melhores soluções. Muitos desses algoritmos empregam as fronteiras de Pareto como estratégia para obter tais soluções. Entretando, conforme relatado na literatura, há a limitação da fronteira para problemas com até três objetivos, podendo tornar seu emprego insatisfatório para os problemas com quatro ou mais objetivos. Além disso, as propostas apresentadas muitas vezes eliminam o emprego dos algoritmos evolutivos, os quais utilizam tais fronteiras. Entretanto, as características dos algoritmos evo

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Bakhsh, Ahmed. "A Posteriori and Interactive Approaches for Decision-Making with Multiple Stochastic Objectives." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5897.

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Computer simulation is a popular method that is often used as a decision support tool in industry to estimate the performance of systems too complex for analytical solutions. It is a tool that assists decision-makers to improve organizational performance and achieve performance objectives in which simulated conditions can be randomly varied so that critical situations can be investigated without real-world risk. Due to the stochastic nature of many of the input process variables in simulation models, the output from the simulation model experiments are random. Thus, experimental runs of comput

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Constantinou, Demetrakis. "Ant colony optimisation algorithms for solving multi-objective power-aware metrics for mobile ad hoc networks." Thesis, University of Pretoria, 2010. http://hdl.handle.net/2263/25981.

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A mobile ad hoc network (MANET) is an infrastructure-less multi-hop network where each node communicates with other nodes directly or indirectly through intermediate nodes. Thus, all nodes in a MANET basically function as mobile routers participating in some routing protocol required for deciding and maintaining the routes. Since MANETs are infrastructure-less, self-organizing, rapidly deployable wireless networks, they are highly suitable for applications such as military tactical operations, search and rescue missions, disaster relief operations, and target tracking. Building such ad-hoc net

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Wilding, Paul Richard. "The Development of a Multi-Objective Optimization and Preference Tool to Improve the Design Process of Nuclear Power Plant Systems." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7515.

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The complete design process for a new nuclear power plant concept is costly, long, complicated, and the work is generally split between several specialized groups. These design groups separately do their best to design the portion of the reactor that falls in their expertise according to the design criteria before passing the design to the subsequent design group. Ultimately, the work of each design group is combined, with significant iteration between groups striving to facilitate the integration of each of the heavily interdependent systems. Such complex interaction between experts leads to

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Sthapit, Saurav. "Computation offloading for algorithms in absence of the Cloud." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31440.

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Mobile cloud computing is a way of delegating complex algorithms from a mobile device to the cloud to complete the tasks quickly and save energy on the mobile device. However, the cloud may not be available or suitable for helping all the time. For example, in a battlefield scenario, the cloud may not be reachable. This work considers neighbouring devices as alternatives to the cloud for offloading computation and presents three key contributions, namely a comprehensive investigation of the trade-off between computation and communication, Multi-Objective Optimisation based approach to offloadi

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Essien, Mmekutmfon Sunday. "A multiobjective optimization model for optimal placement of solar collectors." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/30954.

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The aim and objective of this research is to formulate and solve a multi-objective optimization problem for the optimal placement of multiple rows and multiple columns of fixed flat-plate solar collectors in a field. This is to maximize energy collected from the solar collectors and minimize the investment in terms of the field and collector cost. The resulting multi-objective optimization problem will be solved using genetic algorithm techniques. It is necessary to consider multiple columns of collectors as this can result in obtaining higher amounts of energy from these collectors when

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Pal, Anibrata. "Multi-objective optimization in learn to pre-compute evidence fusion to obtain high quality compressed web search indexes." Universidade Federal do Amazonas, 2016. http://tede.ufam.edu.br/handle/tede/5128.

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Submitted by Sáboia Nágila (nagila.saboia01@gmail.com) on 2016-07-29T14:09:40Z No. of bitstreams: 1 Disertação-Anibrata Pal.pdf: 1139751 bytes, checksum: a29e1923e75e239365abac2dc74c7f40 (MD5)<br>Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2016-08-15T17:54:46Z (GMT) No. of bitstreams: 1 Disertação-Anibrata Pal.pdf: 1139751 bytes, checksum: a29e1923e75e239365abac2dc74c7f40 (MD5)<br>Approved for entry into archive by Divisão de Documentação/BC Biblioteca Central (ddbc@ufam.edu.br) on 2016-08-15T17:57:29Z (GMT) No. of bitstreams: 1 Disert

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Furuhashi, Takeshi, Tomohiro Yoshikawa, and Fumiya Kudo. "A Study on Analysis of Design Variables in Pareto Solutions for Conceptual Design Optimization Problem of Hybrid Rocket Engine." IEEE, 2011. http://hdl.handle.net/2237/20699.

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Vanden, Boom Michael T. "Weak cost automata over infinite trees." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:16c6de98-545f-4d2d-acda-efc040049452.

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Cost automata are traditional finite state automata enriched with a finite set of counters that can be manipulated on each transition. Based on the evolution of counter values, a cost automaton defines a function from the set of structures under consideration to the natural numbers extended with infinity, modulo a boundedness relation that ignores exact values but preserves boundedness properties. Historically, variants of cost automata have been used to solve problems in language theory such as the star height problem. They also have a rich theory in their own right as part of the theory of r

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Bobrow, Kirsten Louise. "The effects of childbearing on women's body mass index, and on the risk of diabetes mellitus, or ischaemic heart disease after the menopause." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:5c86d91f-973d-4ff7-a8e7-4e8642a541df.

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Background: Excess adiposity, diabetes mellitus, and ischaemic heart disease are common important causes of morbidity and premature mortality in postmenopausal women in the UK. A large amount of data exists on known risk factors for these conditions, and for risk factors men and women share there is little evidence to suggest sex-based differences. It has been suggested that factors unique to women (such as parity and breastfeeding) may also influence risk. The nature of the relationship between childbearing and these conditions remains to be clarified. In this thesis I explore the association

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Patel, Chirag B. "A multi-objective stochastic approach to combinatorial technology space exploration." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29647.

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Thesis (Ph.D)--Aerospace Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Dr. Dimitri N. Mavris; Committee Member: Dr. Brian J. German; Committee Member: Dr. Daniel P. Schrage; Committee Member: Dr. Frederic Villeneuve; Committee Member: Dr. Michelle R. Kirby; Committee Member: Ms. Antje Lembcke. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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Pilati, Francesco. "Multi-objective Models and Methods for Design and Management of Sustainable Logistic Systems." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3424337.

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Logistics is typically defined as the design and operation of the physical, managerial and informational systems needed to allow goods to overcome space and time. Traditional models and methods for logistic system design and management focus on the optimization of the techno-economic performances. However, logistic activities are distinguished by a huge environmental impact. For instance, the final energy consumption for freight transportation reached in recent years the alarming value of 13% of the total end-use energy worldwide, equal to 40 EJ per year. Thus, innovative techniques for logist

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DESHMUKH, DINAR VIVEK. "Design Optimization of Mechanical Components." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1028738547.

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