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Dissertations / Theses on the topic 'Global Optimization, Clustering Methods'

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Published: 10 March 2023

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1

SOUZA, Ellen Polliana Ramos. "Swarm optimization clustering methods for opinion mining." Universidade Federal de Pernambuco, 2017. https://repositorio.ufpe.br/handle/123456789/25227.

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Submitted by Pedro Barros (pedro.silvabarros@ufpe.br) on 2018-07-25T19:46:45Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) TESE Ellen Polliana Ramos Souza.pdf: 1140564 bytes, checksum: 0afe0dc25ea5b10611d057c23af46dec (MD5)<br>Approved for entry into archive by Alice Araujo (alice.caraujo@ufpe.br) on 2018-07-26T21:58:03Z (GMT) No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) TESE Ellen Polliana Ramos Souza.pdf: 1140564 bytes, checksum: 0afe0dc25ea5b10611d057c23af46dec (MD5)<br>Made available in D
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Ren, Zhiwei. "Portfolio Construction using Clustering Methods." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-042605-092010/.

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3

Schütze, Oliver. "Set oriented methods for global optimization." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=976566982.

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4

Gutmann, H. M. "Radial basis function methods for global optimization." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.599804.

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In many real world optimization problems it is essential or desirable to determine the global minimum of the objective function. The subject of this dissertation is a new class of methods that tackle such problems. In particular, we have in mind problems where function evaluations are expensive and no additional information is available. The methods employ radial basis functions that have been proved to be useful for interpolation problems. Examples include thin plate splines and multiquadrics. Specifically, in each iteration, radial basis function interpolation is used to define a utility fun
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Stepanenko, Svetlana. "Global Optimization Methods based on Tabu Search." Doctoral thesis, kostenfrei, 2008. http://www.opus-bayern.de/uni-wuerzburg/volltexte/2008/3060/.

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6

Pettersson, Tobias. "Global optimization methods for estimation of descriptive models." Thesis, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-11781.

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<p>Using mathematical models with the purpose to understand and store knowlegde about a system is not a new field in science with early contributions dated back to, e.g., Kepler’s laws of planetary motion.</p><p>The aim is to obtain such a comprehensive predictive and quantitative knowledge about a phenomenon so that mathematical expressions or models can be used to forecast every relevant detail about that phenomenon. Such models can be used for reducing pollutions from car engines; prevent aviation incidents; or developing new therapeutic drugs. Models used to forecast, or predict, the behav
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McMeen, John Norman Jr. "Ranking Methods for Global Optimization of Molecular Structures." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etd/2447.

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This work presents heuristics for searching large sets of molecular structures for low-energy, stable systems. The goal is to find the globally optimal structures in less time or by consuming less computational resources. The strategies intermittently evaluate and rank structures during molecular dynamics optimizations, culling possible weaker solutions from evaluations earlier, leaving better solutions to receive more simulation time. Although some imprecision was introduced from not allowing all structures to fully optimize before ranking, the strategies identify metrics that can be used to
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Akteke, Basak. "Derivative Free Optimization Methods: Application In Stirrer Configuration And Data Clustering." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/2/12606591/index.pdf.

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Recent developments show that derivative free methods are highly demanded by researches for solving optimization problems in various practical contexts. Although well-known optimization methods that employ derivative information can be very effcient, a derivative free method will be more effcient in cases where the objective function is nondifferentiable, the derivative information is not available or is not reliable. Derivative Free Optimization (DFO) is developed for solving small dimensional problems (less than 100 variables) in which the computation of an objective function is relatively e
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Stolpe, Mathias. "On Models and Methods for Global Optimization of Structural Topology." Doctoral thesis, KTH, Mathematics, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3478.

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<p>This thesis consists of an introduction and sevenindependent, but closely related, papers which all deal withproblems in structural optimization. In particular, we considermodels and methods for global optimization of problems intopology design of discrete and continuum structures.</p><p>In the first four papers of the thesis the nonconvex problemof minimizing the weight of a truss structure subject to stressconstraints is considered. First itis shown that a certainsubclass of these problems can equivalently be cast as linearprograms and thus efficiently solved to global optimality.Thereaft
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10

Robertson, Blair Lennon. "Direct Search Methods for Nonsmooth Problems using Global Optimization Techniques." Thesis, University of Canterbury. Mathematics and Statistics, 2010. http://hdl.handle.net/10092/5060.

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This thesis considers the practical problem of constrained and unconstrained local optimization. This subject has been well studied when the objective function f is assumed to smooth. However, nonsmooth problems occur naturally and frequently in practice. Here f is assumed to be nonsmooth or discontinuous without forcing smoothness assumptions near, or at, a potential solution. Various methods have been presented by others to solve nonsmooth optimization problems, however only partial convergence results are possible for these methods. In this thesis, an optimization method which use a series
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11

Zhang, Jiapu. "Derivative-free hybrid methods in global optimization and their applications." Thesis, University of Ballarat, 2005. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/34054.

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In recent years large-scale global optimization (GO) problems have drawn considerable attention. These problems have many applications, in particular in data mining and biochemistry. Numerical methods for GO are often very time consuming and could not be applied for high-dimensional non-convex and / or non-smooth optimization problems. The thesis explores reasons why we need to develop and study new algorithms for solving large-scale GO problems .... The thesis presents several derivative-free hybrid methods for large scale GO problems. These methods do not guarantee the calculation of a globa
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Hu, Jiaqiao. "Randomized search methods for solving Markov decision processes and global optimization." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3770.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.<br>Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Raber, Ulrich. "Nonconvex all-quadratic global optimization problems solution methods, application and related topics /." [S.l. : s.n.], 1999. http://deposit.ddb.de/cgi-bin/dokserv?idn=961036478.

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14

Quttineh, Nils-Hassan. "Models and Methods for Costly Global Optimization and Military Decision Support Systems." Doctoral thesis, Linköpings universitet, Optimeringslära, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-77078.

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The thesis consists of five papers. The first three deal with topics within costly global optimization and the last two concern military decision support systems. The first part of the thesis addresses so-called costly problems where the objective function is seen as a “black box” to which the input parameter values are sent and a function value is returned. This means in particular that no information about derivatives is available. The black box could, for example, solve a large system of differential equations or carry out   timeconsuming simulation, where a single function evaluation can t
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15

Koullias, Stefanos. "Methodology for global optimization of computationally expensive design problems." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49085.

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The design of unconventional aircraft requires early use of high-fidelity physics-based tools to search the unfamiliar design space for optimum designs. Current methods for incorporating high-fidelity tools into early design phases for the purpose of reducing uncertainty are inadequate due to the severely restricted budgets that are common in early design as well as the unfamiliar design space of advanced aircraft. This motivates the need for a robust and efficient global optimization algorithm. This research presents a novel surrogate model-based global optimization algorithm to efficiently
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Otero, Richard Edward. "Problem decomposition by mutual information and force-based clustering." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43641.

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The scale of engineering problems has sharply increased over the last twenty years. Larger coupled systems, increasing complexity, and limited resources create a need for methods that automatically decompose problems into manageable sub-problems by discovering and leveraging problem structure. The ability to learn the coupling (inter-dependence) structure and reorganize the original problem could lead to large reductions in the time to analyze complex problems. Such decomposition methods could also provide engineering insight on the fundamental physics driving problem solution. This work for
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17

Gurol, Selime. "Statistical Learning And Optimization Methods For Improving The Efficiency In Landscape Image Clustering And Classification Problems." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606595/index.pdf.

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Remote sensing techniques are vital for early detection of several problems such as natural disasters, ecological problems and collecting information necessary for finding optimum solutions to those problems. Remotely sensed information has also important uses in predicting the future risks, urban planning, communication.Recent developments in remote sensing instrumentation offered a challenge to the mathematical and statistical methods to process the acquired information. Classification of satellite images in the context of land cover classification is the main concern of this study. Land c
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Zhan, Lixin. "Fast Stochastic Global Optimization Methods and Their Applications to Cluster Crystallization and Protein Folding." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/1246.

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Two global optimization methods are proposed in this thesis. They are the multicanonical basin hopping (MUBH) method and the basin paving (BP) method. <br /><br /> The MUBH method combines the basin hopping (BH) method, which can be used to efficiently map out an energy landscape associated with local minima, with the multicanonical Monte Carlo (MUCA) method, which encourages the system to move out of energy traps during the computation. It is found to be more efficient than the original BH method when applied to the Lennard-Jones systems containing 150-185 particles. <br /><br />
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19

Barreau, Thibaud. "Strategic optimization of a global bank capital management using statistical methods on open data." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273413.

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This project is about the optimization of the capital management of a French global bank. Capital management corresponds here to allocating the available capital to the different business units. In this project, I focus on the optimization of the allocation of the risk weighted assets (RWA) between some of the business units of the bank, as a representation of the allocated capital. Emphasis is put on the market and retail part of the bank and the first step was to be able to model the evolution of a business unit given an economic environment. The second one was about optimizing the distribut
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Yamakawa, Yuya. "Studies on Optimization Methods for Nonlinear Semidefinite Programming Problems." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199446.

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21

Van, Assche Dimitri. "New methodological perspectives on PROMETHEE methods." Doctoral thesis, Universite Libre de Bruxelles, 2019. https://dipot.ulb.ac.be/dspace/bitstream/2013/287858/6/contratDV.pdf.

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A few methodological contributions to the PROMETHEE method, essentially based on 3 articles:-FlowSort parameters elicitation based on categorization examples;-PROMETHEE is Not Quadratic: An O (qnlog (n)) Algorithm;-Lexicographic constrained multicriteria ordered clustering.<br>Doctorat en Sciences de l'ingénieur et technologie<br>info:eu-repo/semantics/nonPublished
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Enqvist, Per. "Spectral Estimation by Geometric, Topological and Optimization Methods." Doctoral thesis, Stockholm, 2001. http://media.lib.kth.se:8080/kthdisseng.html.

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23

Hendrich, Christopher. "Proximal Splitting Methods in Nonsmooth Convex Optimization." Doctoral thesis, Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-149548.

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This thesis is concerned with the development of novel numerical methods for solving nondifferentiable convex optimization problems in real Hilbert spaces and with the investigation of their asymptotic behavior. To this end, we are also making use of monotone operator theory as some of the provided algorithms are originally designed to solve monotone inclusion problems. After introducing basic notations and preliminary results in convex analysis, we derive two numerical methods based on different smoothing strategies for solving nondifferentiable convex optimization problems. The first approa
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Mahjani, Behrang. "Methods from Statistical Computing for Genetic Analysis of Complex Traits." Doctoral thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-284378.

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The goal of this thesis is to explore, improve and implement some advanced modern computational methods in statistics, focusing on applications in genetics. The thesis has three major directions. First, we study likelihoods for genetics analysis of experimental populations. Here, the maximum likelihood can be viewed as a computational global optimization problem. We introduce a faster optimization algorithm called PruneDIRECT, and explain how it can be parallelized for permutation testing using the Map-Reduce framework. We have implemented PruneDIRECT as an open source R package, and also Soft
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Titi, Jihad [Verfasser]. "Matrix Methods for the Tensorial and Simplicial Bernstein Forms with Application to Global Optimization / Jihad Titi." Konstanz : KOPS Universität Konstanz, 2019. http://d-nb.info/1214180582/34.

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26

Miller, Michael Chad. "Global Resource Management of Response Surface Methodology." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1621.

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Statistical research can be more difficult to plan than other kinds of projects, since the research must adapt as knowledge is gained. This dissertation establishes a formal language and methodology for designing experimental research strategies with limited resources. It is a mathematically rigorous extension of a sequential and adaptive form of statistical research called response surface methodology. It uses sponsor-given information, conditions, and resource constraints to decompose an overall project into individual stages. At each stage, a "parent" decision-maker determines what design o
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Paudel, Danda Pani. "Local and global methods for registering 2D image sets and 3D point clouds." Thesis, Dijon, 2015. http://www.theses.fr/2015DIJOS077/document.

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Pas de résumé<br>In this thesis, we study the problem of registering 2D image sets and 3D point clouds under threedifferent acquisition set-ups. The first set-up assumes that the image sets are captured using 2Dcameras that are fully calibrated and coupled, or rigidly attached, with a 3D sensor. In this context,the point cloud from the 3D sensor is registered directly to the asynchronously acquired 2D images.In the second set-up, the 2D cameras are internally calibrated but uncoupled from the 3D sensor,allowing them to move independently with respect to each other. The registration for this se
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Fitiwi, Desta Zahlay. "Strategies, Methods and Tools for Solving Long-term Transmission Expansion Planning in Large-scale Power Systems." Doctoral thesis, KTH, Skolan för elektro- och systemteknik (EES), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-192363.

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Driven by a number of factors, the electric power industry is expected to undergo a paradigm shift with a considerably increased level of variable energy sources. A significant integration of such sources requires heavy transmission investments over geographically wide and large-scale networks. However, the stochastic nature of such sources, along with the sheer size of network systems, results in problems that may become intractable. Thus, the challenge addressed in this work is to design efficient and reasonably accurate models, strategies and tools that can solve large-scale TEP problems un
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Kazazakis, Nikolaos. "Parallel computing, interval derivative methods, heuristic algorithms, and their implementation in a numerical solver, for deterministic global optimization." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/45359.

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This thesis presents new algorithms for the deterministic global optimization of general non-linear programming problems (NLPs). It is proven that the αBB general underestimator may provide exact lower bounds on a function only if rigorous conditions are satisfied. These conditions are derived and the μ-subenergy methodology is proposed to achieve tighter αBB underestimation when they are violated. An interval lower bounding test is proposed to improve αBB lower bounds and avoid expensive algorithmic steps. Piecewise-linear relaxations (PLR) are proposed for the underestimation of general func
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Hua, Xiaoqin. "Studies on block coordinate gradient methods for nonlinear optimization problems with separable structure." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/199447.

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Zhang, Fan. "Statistical Methods for Characterizing Genomic Heterogeneity in Mixed Samples." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-dissertations/419.

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"Recently, sequencing technologies have generated massive and heterogeneous data sets. However, interpretation of these data sets is a major barrier to understand genomic heterogeneity in complex diseases. In this dissertation, we develop a Bayesian statistical method for single nucleotide level analysis and a global optimization method for gene expression level analysis to characterize genomic heterogeneity in mixed samples. The detection of rare single nucleotide variants (SNVs) is important for understanding genetic heterogeneity using next-generation sequencing (NGS) data. Various compu
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Lunday, Brian Joseph. "Resource Allocation on Networks: Nested Event Tree Optimization, Network Interdiction, and Game Theoretic Methods." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/77323.

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This dissertation addresses five fundamental resource allocation problems on networks, all of which have applications to support Homeland Security or industry challenges. In the first application, we model and solve the strategic problem of minimizing the expected loss inflicted by a hostile terrorist organization. An appropriate allocation of certain capability-related, intent-related, vulnerability-related, and consequence-related resources is used to reduce the probabilities of success in the respective attack-related actions, and to ameliorate losses in case of a successful attack. Given t
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Weeraddana, P. C. (Pradeep Chathuranga). "Optimization techniques for radio resource management in wireless communication networks." Doctoral thesis, Oulun yliopisto, 2011. http://urn.fi/urn:isbn:9789514296550.

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Abstract The application of optimization techniques for resource management in wireless communication networks is considered in this thesis. It is understood that a wide variety of resource management problems of recent interest, including power/rate control, link scheduling, cross-layer control, network utility maximization, beamformer design of multiple-input multiple-output networks, and many others are directly or indirectly reliant on the general weighted sum-rate maximization (WSRMax) problem. Thus, in this dissertation a greater emphasis is placed on the WSRMax problem, which is known t
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Cerqueira, Tiago F. T. [Verfasser], Silvana Gutachter] Botti, Claudia [Gutachter] Draxl, and Angel [Gutachter] [Rubio. "Structural prediction and materials design : from high throughput to global minima optimization methods / Tiago F.T. Cerqueira ; Gutachter: Silvana Botti, Claudia Draxl, Angel Rubio." Jena : Friedrich-Schiller-Universität Jena, 2017. http://d-nb.info/1177603349/34.

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35

Popov, Mikhail. "Analytic and Numerical Methods for the Solution of Electromagnetic Inverse Source Problems." Doctoral thesis, KTH, Electromagnetic Theory, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3134.

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Costa, Jardel da Silva. "Minimização do potencial de Lennard-Jones via otimização global." Universidade do Estado do Rio de Janeiro, 2010. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=1604.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Devido à sua importância, o chamado problema de Lennard-Jones tem atraído pesquisadores de diversos campos da ciência pura e aplicada. Tal problema resume-se em achar as coordenadas de um sistema no espaço Euclidiano tridimensional, as quais correspondem a um mínimo de um potencial de energia. Esse problema desempenha um papel de fundamental importância na determinação da estabilidade de moléculas em arranjos altamente ramificados, como das proteínas. A principal dificuldade para resolver o problema de Lennard-Jones decorre do fato
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Desai, Jitamitra. "Solving Factorable Programs with Applications to Cluster Analysis, Risk Management, and Control Systems Design." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/28211.

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Ever since the advent of the simplex algorithm, linear programming (LP) has been extensively used with great success in many diverse fields. The field of discrete optimization came to the forefront as a result of the impressive developments in the area of linear programming. Although discrete optimization problems can be viewed as belonging to the class of nonconvex programs, it has only been in recent times that optimization research has confronted the more formidable class of continuous nonconvex optimization problems, where the objective function and constraints are often highly nonlinear a
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Samarakoon, S. (Sumudu). "Learning-based methods for resource allocation and interference management in energy-efficient small cell networks." Doctoral thesis, Oulun yliopisto, 2017. http://urn.fi/urn:isbn:9789526216874.

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Abstract Resource allocation and interference management in wireless small cell networks have been areas of key research interest in the past few years. Although a large number of research studies have been carried out, the needs for high capacity, reliability, and energy efficiency in the emerging fifth-generation (5G) networks warrants the development of methodologies focusing on ultra-dense and self-organizing small cell network (SCN) scenarios. In this regard, the prime motivation of this thesis is to propose an array of distributed methodologies to solve the problem of joint resource allo
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Coelho, Ana Carolina Rios. "Estimação de parâmetros em modelos para eliminação enzimática de substratos no fígado: um estudo via otimização global." Universidade do Estado do Rio de Janeiro, 2009. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=873.

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Fundação Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro<br>Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Neste trabalho, abordamos um problema de otimização de parâmetros da biofísica em que o objetivo é a obtenção da taxa média de concentração de substrato no fígado. Este problema é altamente não-linear, multimodal e com função-objetivo não-diferenciável. Resolvemos o mesmo através de métodos de otimização da literatura e introduzimos três métodos de otimização. Os métodos introduzidos neste trabalho são baseados na hibridização de um método estocástico,
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Gouveia, Paulo Sergio da Silva. "Resolução do problema de alinhamento estrutural entre proteínas via técnicas de otimização global." [s.n.], 2011. http://repositorio.unicamp.br/jspui/handle/REPOSIP/305964.

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Orientadores: Ana Friedlander de Martinez Perez, Roberto Andreani<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matemática, Estatística e Computação Científica<br>Made available in DSpace on 2018-08-17T18:28:36Z (GMT). No. of bitstreams: 1 Gouveia_PauloSergiodaSilva_D.pdf: 2266379 bytes, checksum: 85bb53a412744c3d168ac6fed4b701e0 (MD5) Previous issue date: 2011<br>Resumo: A comparação estrutural entre proteínas é um problema fundamental na Biologia Molecular, pois estruturas similares entre proteínas, frequentemente refletem uma funcionalidade ou origem em comum entre
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Ittiwattana, Waraporn. "A Method for Simulation Optimization with Applications in Robust Process Design and Locating Supply Chain Operations." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1030366020.

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Vanaret, Charlie. "Hybridation d’algorithmes évolutionnaires et de méthodes d’intervalles pour l’optimisation de problèmes difficiles." Phd thesis, Toulouse, INPT, 2015. http://oatao.univ-toulouse.fr/13807/1/vanaret.pdf.

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L’optimisation globale fiable est dédiée à la recherche d’un minimum global en présence d’erreurs d’arrondis. Les seules approches fournissant une preuve numérique d’optimalité sont des méthodes d’intervalles qui partitionnent l’espace de recherche et éliminent les sous-espaces qui ne peuvent contenir de solution optimale. Ces méthodes exhaustives, appelées branch and bound par intervalles, sont étudiées depuis les années 60 et ont récemment intégré des techniques de réfutation et de contraction, issues des communautés d’analyse par intervalles et de programmation par contraintes. Il est d’une
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Bilicz, Sandor. "Application of Design-of-Experiment Methods and Surrogate Models in Electromagnetic Nondestructive Evaluation." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00601753.

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Le contrôle non destructif électromagnétique (CNDE) est appliqué dans des domaines variés pour l'exploration de défauts cachés affectant des structures. De façon générale, le principe peut se poser en ces termes : un objet inconnu perturbe un milieu hôte donné et illuminé par un signal électromagnétique connu, et la réponse est mesurée sur un ou plusieurs récepteurs de positions connues. Cette réponse contient des informations sur les paramètres électromagnétiques et géométriques des objets recherchés et toute la difficulté du problème traité ici consiste à extraire ces informations du signal
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Ouali, Abdelkader. "Méthodes hybrides parallèles pour la résolution de problèmes d'optimisation combinatoire : application au clustering sous contraintes." Thesis, Normandie, 2017. http://www.theses.fr/2017NORMC215/document.

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Les problèmes d’optimisation combinatoire sont devenus la cible de nombreuses recherches scientifiques pour leur importance dans la résolution de problèmes académiques et de problèmes réels rencontrés dans le domaine de l’ingénierie et dans l’industrie. La résolution de ces problèmes par des méthodes exactes ne peut être envisagée à cause des délais de traitement souvent exorbitants que nécessiteraient ces méthodes pour atteindre la (les) solution(s) optimale(s). Dans cette thèse, nous nous sommes intéressés au contexte algorithmique de résolution des problèmes combinatoires, et au contexte de
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45

Hamdani, Hamid. "Métamodèles pour l’étude fiabiliste des systèmes mécatroniques Métamodélisation pour une conception robuste des systèmes mécatroniques Reliability analysis of tape based chip-scale packages based metamodel Optimization of solder joints in embedded mechatronic systemsvia Kriging-assisted CMA-ES algorithm Metamodel assisted evolution strategies for global optimization of solder joints reliability in embedded mechatronic devices." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMIR12.

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Les défaillances des systèmes mécatroniques sont souvent causées par la rupture par fatigue des joints de brasure de ses composants électroniques. Avec la miniaturisation croissante des boîtiers électroniques, la sollicitation des joints de brasure, qui assurent la liaison entre les sorties du composant et la carte, peut devenir problématique. En effet, les joints de brasures peuvent accepter des taux de déformation importants, mais une accumulation des sollicitations répétées provoquent leur vieillissement prématuré pouvant conduire à la rupture de joints brasés (phénomène de fatigue thermomé
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Santos, Genasil Francisco dos. "Identificação de danos estruturais utilizando técnicas de otimização." Universidade do Estado do Rio de Janeiro, 2009. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5647.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>Sistemas estruturais em suas variadas aplicações incluindo-se veículos espaciais, automóveis e estruturas de engenharia civil tais como prédios, pontes e plataformas off-shore, acumulam dano durante suas vidas úteis. Em muitas situações, tal dano pode não ser visualmente observado. Do ponto de vista da segurança e da performance da estrutura, é desejável monitorar esta possível ocorrência, localizá-la e quantificá-la. Métodos de identificação de sistemas, que em geral, são classificados numa categoria de Técnicas de Avaliação Não-D
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Schardong, André. "Aplicação de técnicas de programação linear e extensões para otimização da alocação de água em sistemas de recursos hídricos, utilizando métodos de pontos interiores." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/3/3147/tde-01122006-171713/.

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Neste trabalho é apresentada uma ferramenta de otimização para análise de problemas de alocação de água em bacias hidrográficas utilizando técnicas de programação linear e linear por partes, integradas a um modelo de amortecimentos de ondas em canais. A otimização é feita de forma global, com uso de softwares de programação linear baseados nos métodos de pontos interiores. A metodologia de uso do sistema consiste em se obter uma solução ?ótima? para situações de disponibilidade de água insuficiente a todos os usos conflitantes na bacia. A ferramenta está sendo acoplada e incorporada ao AcquaNe
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48

Tigli, Luca. "Saving local searches in global optimization." Doctoral thesis, 2020. http://hdl.handle.net/2158/1188596.

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This thesis concerns the use of local searches within global optimization algorithms. In particular, we focus our attention on the strategies to decide whether to start or not a local search from a starting point. More specifically, our aim is to avoid the waste of computational effort due to local searches which lead to already detected local minima or to local minimizers with a poor function value. Our clustering-based strategies can be easily used to solve large scale global optimization problems and to enhance the performance of any memetic algorithm in general.
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Moa, Belaid. "Interval methods for global optimization." Thesis, 2007. http://hdl.handle.net/1828/198.

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We propose interval arithmetic and interval constraint algorithms for global optimization. Both of these compute lower and upper bounds of a function over a box, and return a lower and an upper bound for the global minimum. In interval arithmetic methods, the bounds are computed using interval arithmetic evaluations. Interval constraint methods instead use domain reduction operators and consistency algorithms. The usual interval arithmetic algorithms for global optimization suffer from at least one of the following drawbacks: - Mixing the fathoming problem, in which we ask for the global
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Ocloo, Senanu K. "Global optimization methods for adaptive IIR filters." 2007. http://www.lib.ncsu.edu/theses/available/etd-07112007-150000/unrestricted/etd.pdf.

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