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Relevant bibliographies by topics / Global Optimization / Dissertations / Theses

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Dissertations / Theses on the topic 'Global Optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Singer, Adam B. "Global dynamic optimization." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/28662.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2004.<br>Includes bibliographical references (p. 247-256).<br>(cont.) on a set composed of the Cartesian product between the parameter bounds and the state bounds. Furthermore, I show that the solution of the differential equations is affine in the parameters. Because the feasible set is convex pointwise in time, the standard result that a convex function composed with an affine function remains convex yields the desired result that the integrand is convex under composition. Additionally, methods are develop

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2

Ruan, Ning. "Global optimization for nonconvex optimization problems." Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/1936.

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Duality is one of the most successful ideas in modern science [46] [91]. It is essential in natural phenomena, particularly, in physics and mathematics [39] [94] [96]. In this thesis, we consider the canonical duality theory for several classes of optimization problems.The first problem that we consider is a general sum of fourth-order polynomial minimization problem. This problem arises extensively in engineering and science, including database analysis, computational biology, sensor network communications, nonconvex mechanics, and ecology. We first show that this global optimization problem

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3

Moore, Roxanne Adele. "Value-based global optimization." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44750.

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Computational models and simulations are essential system design tools that allow for improved decision making and cost reductions during all phases of the design process. However, the most accurate models are often computationally expensive and can therefore only be used sporadically. Consequently, designers are often forced to choose between exploring many design alternatives with less accurate, inexpensive models and evaluating fewer alternatives with the most accurate models. To achieve both broad exploration of the alternatives and accurate determination of the best alternative with rea

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4

Birbil, Sevket Ilker. "Stochastic Global Optimization Techniques." NCSU, 2002. http://www.lib.ncsu.edu/theses/available/etd-20020403-171452.

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<p>In this research, a novel population-based global optimization method has been studied. The method is called Electromagnetism-like Mechanism or in short EM. The proposed method mimicks the behavior of electrically charged particles. In other words, a set of points is sampled from the feasible region and these points imitate the role of the charged particles in basic electromagnetism. The underlying idea of the method is directing sample points toward local optimizers, which point out attractive regions of the feasible space.The proposed method has been applied to different test problems fro

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5

Gattupalli, Rajeswar R. "Advances in global optimization /." View online ; access limited to URI, 2008. http://0-digitalcommons.uri.edu.helin.uri.edu/dissertations/AAI3314454.

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6

Zehnder, Nino. "Global optimization of laminated structures /." Zürich : ETH, 2008. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17573.

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7

Quttineh, Nils-Hassan. "Algorithms for Costly Global Optimization." Licentiate thesis, Mälardalen University, School of Education, Culture and Communication, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-5970.

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<p>There exists many applications with so-called costly problems, which means that the objective function you want to maximize or minimize cannot be described using standard functions and expressions. Instead one considers these objective functions as ``black box'' where the parameter values are sent in and a function value is returned. This implies in particular that no derivative information is available.The reason for describing these problems as expensive is that it may take a long time to calculate a single function value. The black box could, for example, solve a large system of differen

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8

Schonlau, Matthias. "Computer experiments and global optimization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq22234.pdf.

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9

Al-Mharmah, Hisham. "Global optimization of stochastic functions." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/25665.

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10

Oulmane, Mourad. "On-Chip global interconnect optimization." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=33985.

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We present a practical yet accurate approach for dealing with the problem of inserting repeaters along on-chip interconnect lines to meet delay and transition time requirements. This approach is based on the fact that the transition time and the delay at the far end of an interconnect segment are, respectively, independent and linearly dependent on the driving repeater's input transition time, as long as the ratio of the output to input transition time does not exceed a pre-defined value. In this context, we first derive simple closed form expressions for the optimal repeater spacing and sizin

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11

Stephens, Chris. "Global optimization: theory versus practice." Thesis, University of Canterbury. Mathematics, 1997. http://hdl.handle.net/10092/8430.

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This thesis looks at some theoretical and practical aspects of global optimization - as we shall see they do not always coincide. Chapter 1 defines the global optimization problem, discusses applications, concluding there are fewer than often claimed, and a presents a survey of algorithms. A simple deterministic analogue to PAS, a theoretical stochastic algorithm known to have good convergence properties, is presented. The often-claimed minimax optimality of the Piyavskii-Shubert algorithm is shown not to apply for the first few iterations. The counter-example given also applies to Mladineo'

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12

Newbern, Jeffrey Lawrence. "Global optimization of dither arrays." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10894.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.<br>Includes bibliographical references (p. 59-60).<br>by Jeffrey Newbern.<br>M.Eng.

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13

Theodosopoulos, Theodore. "Stochastic models for global optimization." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11404.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.<br>Includes bibliographical references (p. 61-63).<br>by Theodore Vassilios Theodosopoulos.<br>Ph.D.

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14

Wechsung, Achim. "Global optimization in reduced space." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/87131.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Chemical Engineering, 2014.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 203-216).<br>Optimization is a key activity in any engineering discipline. Global optimization methods, in particular, strive to solve nonconvex problems, which often arise in chemical engineering, and deterministic algorithms such as branch-and-bo

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15

Lee, Cha Kun. "Global optimization of hybrid systems." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37276.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2006.<br>Includes bibliographical references (p. 339-353).<br>Systems that exhibit both discrete state and continuous state dynamics are called hybrid systems. In most nontrivial cases, these two aspects of system behavior interact to such a significant extent that they cannot be decoupled effectively by any kind of abstraction and must be analyzed simultaneously. Hybrid system models are important in many areas of science and engineering, including flip-flops and latching relays, manufacturing systems, air-

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16

Pandit, Sanjay. "Texture segmentation by global optimization." Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/843855/.

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This thesis is concerned with the investigation of a specific approach to the problem of texture segmentation, namely that based on the global optimization of a cost function. Many tasks in image analysis are expressed as global optimization problems in which the general issue is to find the global minimum of a cost function which describes the interaction between the different variables modelling the image features and the interaction of these variables with the data in a given problem. The minimization of such a global cost function is a difficult problem since the number of hidden variables

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17

Leclerc, Anthony P. "Efficient and reliable global optimization /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487780393266914.

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18

Viitanen, Sami. "Some new global optimization algorithms /." Åbo : Åbo Akad. Förl, 1997. http://www.gbv.de/dms/goettingen/239457927.pdf.

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19

Mohd, Ismail Bin. "Global optimization using interval arithmetic." Thesis, University of St Andrews, 1987. http://hdl.handle.net/10023/13824.

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This thesis contains a description of algorithm, MW, for bounding the global minimizers and globally minimum value of a twice continuously differentiable function f :Rn → R1 R1 in a compact sub-interval of Rn. The algorithm MW is similar to the algorithm of Hansen (Han-80a] in that interval arithmetic is used together with certain of Hansen's ideas, but is different from Hansen's algorithm in that MW bounds the Kuhn Tucker points corresponding to the global minimizers of f in the given sab-interval. The Kuhn Tucker points are bounded with prescribed precision by using either of the algorithms

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20

Inamdar, S. R. "Global optimization of chemical processes." Thesis(Ph.D.), CSIR-National Chemical Laboratory, Pune, 2012. http://dspace.ncl.res.in:8080/xmlui/handle/20.500.12252/2142.

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21

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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22

Beckers, Markus [Verfasser]. "Toward global robust optimization / Markus Beckers." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2014. http://d-nb.info/1059317370/34.

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23

Heath, Jeffrey W. "Global optimization of finite mixture models." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7179.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Applied Mathematics and Scientific Computation Program. 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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24

Wilson, Simon Paul. "Aircraft routing using nonlinear global optimization." Thesis, University of Hertfordshire, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275117.

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25

Sobester, A. "Enhancements to global design optimization techniques." Thesis, University of Southampton, 2003. https://eprints.soton.ac.uk/45904/.

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Modern engineering design optimization relies to a large extent on computer simulations of physical phenomena. The computational cost of such high-fidelity physics-based analyses typically places a strict limit on the number of candidate designs that can be evaluated during the optimization process. The more global the scope of the search, the greater are the demands placed by this limited budget on the efficiency of the optimization algorithm. This thesis proposes a number of enhancements to two popular classes of global optimizers. First, we put forward a generic algorithm template that comb

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26

Bashir, Hassan Abdullahi. "Global optimization with hybrid evolutionary computation." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/global-optimization-with-hybrid-evolutionary-computation(0392a891-dfae-4063-baf1-992cd0dc7df2).html.

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An investigation has been made into hybrid systems which include stochastic and deterministic optimization. This thesis aims to provide new and relevant insights into the design of the nature-inspired hybrid optimization paradigms. It combines evolutionary and gradient-based methods. These hybrid evolutionary methods yield improved performance when applied to complex global optimization tasks and recent research has shown many of such hybridization policies. The thesis has three broad contributions. Firstly, by examination of stochastic optimization, supported by case studies, we utilised the

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27

Greene, James J. "Global optimization of water distribution systems." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-10062009-020212/.

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28

Monnet, Dominique. "Global minmax optimization for robust H∞ control." Thesis, Brest, École nationale supérieure de techniques avancées Bretagne, 2018. http://www.theses.fr/2018ENTA0009/document.

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La commande H∞ est de nos jours utilisée pour la régulation de nombreux systèmes. Cette technique de contrôle permet de synthétiser des lois de commande robustes, dans le sens où le comportement du système régulé est peu sensible aux perturbations externes. De plus, la commande H∞ permet de prendre en compte des incertitudes liés au modèle décrivant le système à réguler. Par conséquence, cette technique de contrôle est robuste vis-à-vis des perturbations et des incertitudes de modèle. Afin de synthétiser une loi de commande robuste, les spécifications des performances du système en boucle ferm

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29

Ahmed, Abdel-Rahman Hedar A. "Studies on metaheuristics continuous global optimization problems." 京都大学 (Kyoto University), 2004. http://hdl.handle.net/2433/145313.

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30

Lančinskas, Algirdas. "Parallelization of random search global optimization algorithms." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130620_110438-17037.

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Global optimization problems are relevant in various fields of research and industry, such as chemistry, biology, biomedicine, operational research, etc. Normally it is easier to solve optimization problems having some specific properties of objective function such as linearity, convexity, differentiability, etc. However, there are a lot of practical problems that do not satisfy such properties or even cannot be expressed in an adequate mathematical form. Therefore, it is popular to use random search optimization methods in solving such optimization problems. The dissertation deals with invest

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31

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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32

Henkle, Aimee L. (Aimee Leigh) 1975. "Global supply chain design and optimization methodology." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/34762.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; in conjunction with the Leaders for Manufacturing Program at MIT, 2004.<br>Includes bibliographical references (p. 72).<br>The work for this thesis was performed at Honeywell in the Automation and Control Solutions (ACS) division. The project focuses on ACS's manufacturing strategy regarding its global supply chain design, primarily discussing the manufacturing growth opportunities available in emerging reg

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33

Mayer, Theresia. "Efficient global optimization : analysis, generalizations and extensions." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/15297.

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In some optimization problems the evaluation of the objective function is very expensive. It is therefore desirable to find the global optimum of the function with only comparatively few function evaluations. Because of the expense of evaluations it is justified to put significant effort into finding good sample points and using all the available information about the objective function. One way of achieving this is by assuming that the function can be modelled as a stochastic process and fitting a response surface to it, based on function evaluations at a set of points determined by an initia

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34

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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35

Ibraev, Suiunbek. "A new parallel method for verified global optimization." [S.l.] : [s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=963452304.

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36

Schutte, Jaco Francois. "Applications of parallel global optimization to mechanics problems." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0012932.

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37

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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38

Samuelsson, Oscar. "Benchmarking Global Optimization Algorithms for Core Prediction Identification." Thesis, Linköpings universitet, Reglerteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-61253.

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Mathematical modeling has evolved from being a rare event to becoming a standardapproach for investigating complex biological interactions. However, variationsand uncertainties in experimental data usually result in uncertain estimatesof the parameters of the model. It is possible to draw conclusions from the modeldespite uncertain parameters by using core predictions. A core prediction is amodel property which is valid for all parameter vectors that fit data at an acceptablecost. By validating the core prediction with additional experimentalmeasurements one can draw conclusions about the over

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39

Liberti, Leo Sergio. "Reformulation and convex relaxation techniques for global optimization." Thesis, Imperial College London, 2004. http://hdl.handle.net/10044/1/11807.

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40

Ding, Baoyan. "A parametric solution for local and global optimization." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq21341.pdf.

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41

Fowkes, Jaroslav Mrazek. "Bayesian numerical analysis : global optimization and other applications." Thesis, University of Oxford, 2011. http://ora.ox.ac.uk/objects/uuid:ab268fe7-f757-459e-b1fe-a4a9083c1cba.

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We present a unifying framework for the global optimization of functions which are expensive to evaluate. The framework is based on a Bayesian interpretation of radial basis function interpolation which incorporates existing methods such as Kriging, Gaussian process regression and neural networks. This viewpoint enables the application of Bayesian decision theory to derive a sequential global optimization algorithm which can be extended to include existing algorithms of this type in the literature. By posing the optimization problem as a sequence of sampling decisions, we optimize a general co

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42

Ali, M. "Some modified stochastic global optimization algorithms with applications." Thesis, Loughborough University, 1994. https://dspace.lboro.ac.uk/2134/13429.

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Stochastic methods for global optimization problems with continuous variables have been studied. Modifications of three different algorithms have been proposed. These are (1) Multilevel Single Linkage (MSL), (2) Simulated Annealing (SA) and (3) Controlled Random Search (CRS). We propose a new topographical Multilevel Single Linkage (TMSL) algorithm as an extension of MSL. TMSL performs much better than MSL, especially in terms of number of function evaluations. A new aspiration based simulated annealing algorithm (ASA) has been derived which enhances the performance of SA by incorporating an a

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43

Herrero-López, Sergio. "Large-scale simulator for global data infrastructure optimization." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/70759.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, February 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 165-172).<br>Companies depend on information systems to control their operations. During the last decade, Information Technology (IT) infrastructures have grown in scale and complexity. Any large company runs many enterprise applications that serve data to thousands of users which, in turn, consume this information in different locations concurrently and collaboratively. The understanding by the

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44

Daboul, Siad [Verfasser]. "Global Timing Optimization in Chip Design / Siad Daboul." Bonn : Universitäts- und Landesbibliothek Bonn, 2021. http://d-nb.info/1235525341/34.

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45

Hirsch, Michael J. "Grasp-based heuristics for continuous global optimization problems." [Gainesville, Fla.] : University of Florida, 2006. http://purl.fcla.edu/fcla/etd/UFE0017140.

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46

Zhou, Xiaojun. "Canonical Dual Algorithms for Global Optimization with Applications." Thesis, Federation University Australia, 2014. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/74678.

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Canonical duality theory provides a unified framework which can transform a nonconvex primal minimization problem to a canonical dual maximization problem over a convex domain without duality gap. But the global optimality is guaranteed by a certain positive definite condition and such condition is not always satisfied. The goal of this thesis aims to explore possible techniques that can be used to solve global optimization problems based on the canonical duality theory. Firstly, an algorithmic framework for canonical duality theory is established, which shows that the canonical dual algorithm

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47

Kunde, Christian [Verfasser]. "Global optimization in conceptual process design / Christian Kunde." Magdeburg : Universitätsbibliothek, 2017. http://d-nb.info/1135662266/34.

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48

Roddier, Nicolas. "Global optimization via neural networks and D.C. programming." Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/186617.

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The ultimate goal of this work is to provide a general global optimization method. Due to the difficulty of the problem, the complete task is divided into several sections. These sections can be collected into a modeling phase followed by a global minimization phase. Each of the various sections draws from different engineering fields. What this work suggests is an interface and common ground between these fields. The modeling phase of the procedure consists of converting a general problem into a given formulation using a particular type of neural network. The architecture required for the neu

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49

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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50

Mohammadi, Hossein. "Kriging-based black-box global optimization : analysis and new algorithms." Thesis, Lyon, 2016. http://www.theses.fr/2016LYSEM005/document.

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L’«Efficient Global Optimization» (EGO) est une méthode de référence pour l’optimisation globale de fonctions «boites noires» coûteuses. Elle peut cependant rencontrer quelques difficultés, comme le mauvais conditionnement des matrices de covariance des processus Gaussiens (GP) qu’elle utilise, ou encore la lenteur de sa convergence vers l’optimum global. De plus, le choix des paramètres du GP, crucial car il contrôle la famille des fonctions d’approximation utilisées, mériterait une étude plus poussée que celle qui en a été faite jusqu’à présent. Enfin, on peut se demander si l’évaluation cla

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