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Dissertations / Theses on the topic 'Multistage optimization'

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1

Rosmarin, Jonathan. "An evolutionary approach to multistage portfolio optimization." Thesis, Imperial College London, 2007. http://hdl.handle.net/10044/1/7280.

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Portfolio optimization is an important problem in quantitative finance due to its application in asset management and corporate financial decision making. This involves quantitatively selecting the optimal portfolio for an investor given their asset return distribution assumptions, investment objectives and constraints. Analytical portfolio optimization methods suffer from limitations in terms of the problem specification and modelling assumptions that can be used. Therefore, a heuristic approach is taken where Monte Carlo simulations generate the investment scenarios and' a problem specific e
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2

Dunatunga, Manimelwadu Samson. "Optimization of multistage systems with nondifferentiable objective functions." Diss., The University of Arizona, 1990. http://hdl.handle.net/10150/185050.

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This dissertation is aimed at a class of convex dynamic optimization problems in which the transition functions are twice continuously differentiable and the stagewise objective functions are convex, although not necessarily differentiable. Two basic descent algorithms which use sequential and parallel coordinating techniques are developed. In both algorithms the nondifferentiability of the objective function is accounted for by using subgradient information. The objective of the subproblems generated consists of successive piecewise linear approximations of the stagewise objective function an
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3

Cuadrado, Guevara Marlyn Dayana. "Multistage scenario trees generation for renewable energy systems optimization." Doctoral thesis, Universitat Politècnica de Catalunya, 2020. http://hdl.handle.net/10803/670251.

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The presence of renewables in energy systems optimization have generated a high level of uncertainty in the data, which has led to a need for applying stochastic optimization to modelling problems with this characteristic. The method followed in this thesis is multistage Stochastic Programming (MSP). Central to MSP is the idea of representing uncertainty (which, in this case, is modelled with a stochastic process) using scenario trees. In this thesis, we developed a methodology that starts with available historical data; generates a set of scenarios for each random variable of the MSP model; d
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4

Kuhn, Daniel. "Generalized bounds for convex multistage stochastic programs /." Berlin [u.a.] : Springer, 2005. http://www.loc.gov/catdir/enhancements/fy0818/2004109705-d.html.

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5

Kuznia, Ludwig Charlemagne. "Extensions of Multistage Stochastic Optimization with Applications in Energy and Healthcare." Scholar Commons, 2012. http://scholarcommons.usf.edu/etd/4114.

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This dissertation focuses on extending solution methods in the area of stochastic optimization. Attention is focused to three specific problems in the field. First, a solution method for mixed integer programs subject to chance constraints is discussed. This class of problems serves as an effective modeling framework for a wide variety of applied problems. Unfortunately, chance constrained mixed integer programs tend to be very challenging to solve. Thus, the aim of this work is to address some of these challenges by exploiting the structure of the deterministic reformulation for the prob
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6

Golari, Mehdi. "Multistage Stochastic Programming and Its Applications in Energy Systems Modeling and Optimization." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/556438.

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Electric energy constitutes one of the most crucial elements to almost every aspect of life of people. The modern electric power systems face several challenges such as efficiency, economics, sustainability, and reliability. Increase in electrical energy demand, distributed generations, integration of uncertain renewable energy resources, and demand side management are among the main underlying reasons of such growing complexity. Additionally, the elements of power systems are often vulnerable to failures because of many reasons, such as system limits, weak conditions, unexpected events, hidde
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7

Chagas, Guido Marcelo Borma. "Long-term asset allocation based on stochastic multistage multi-objective portfolio optimization." reponame:Repositório Institucional do FGV, 2016. http://hdl.handle.net/10438/17044.

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Submitted by Guido Chagas (guido.chagas@fgv.br) on 2016-09-09T15:34:13Z No. of bitstreams: 1 Long-Term Asset Allocation Based on Stochastic Multistage Multi-Objective Portfolio Optimization.pdf: 6336618 bytes, checksum: 67d3dd1c3b982252c5012b3078278f95 (MD5)<br>Approved for entry into archive by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br) on 2016-09-09T17:20:03Z (GMT) No. of bitstreams: 1 Long-Term Asset Allocation Based on Stochastic Multistage Multi-Objective Portfolio Optimization.pdf: 6336618 bytes, checksum: 67d3dd1c3b982252c5012b3078278f95 (MD5)<br>Made available in DSpace on
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8

Zhou, Zhihong. "Multistage Stochastic Decomposition and its Applications." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/222892.

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In this dissertation, we focus on developing sampling-based algorithms for solving stochastic linear programs. The work covers both two stage and multistage versions of stochastic linear programs. In particular, we first study the two stage stochastic decomposition (SD) algorithm and present some extensions associated with SD. Specifically, we study two issues: a) are there conditions under which the regularized version of SD generates a unique solution? and b) in cases where a user is willing to sacrifice optimality, is there a way to modify the SD algorithm so that a user can trade-off solut
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9

Küchler, Christian. "Stability, approximation, and decomposition in two- and multistage stochastic programming." Wiesbaden : Vieweg + Teubner, 2009. http://d-nb.info/995018979/04.

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10

Yeo, In-Young. "Multistage hierarchical optimization for land use allocation to control nonpoint source water pollution." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1127156412.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains xvii, 180 p.; also includes graphics (some col.). Includes bibliographical references (p. 156-171). Available online via OhioLINK's ETD Center
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11

Teiller, Alexandre. "Aspects algorithmiques de l'optimisation « multistage »." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS471.

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En optimisation combinatoire classique, étant donné une instance d’un problème, il est demandé de trouver une bonne solution réalisable. Cependant, dans de nombreux cas, les données peuvent évoluer au cours du temps et il est demandé de résoudre une séquence d’instances. Gupta et al. (2014) et Eisenstat et al. (2014) ont proposé un modèle multistage où étant donné un horizon de temps, l’entrée est une séquence d’instances (une pour chaque pas de temps), et l’objectif est de trouver une séquence de solutions (une pour chaque pas de temps) qui atteindrait un compromis entre la qualité des soluti
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12

Røstad, Lars Dybsjord, and Jeanette Christine Erichsen. "Investments in the LNG Value Chain : A Multistage Stochastic Optimization Model focusing on Floating Liquefaction Units." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for industriell økonomi og teknologiledelse, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-20980.

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In this thesis, we have developed a strategic optimization model of investments in infrastructure in the LNG value chain. The focus is on floating LNG production units: when they are a viable solution and what value they add to the LNG value chain. First a deterministic model is presented with focus on describing the value chain, before it is expanded to a multistage stochastic model with uncertain field sizes and gas prices. The objective is to maximize expected discounted profits through optimal investments in infrastructure. A dataset based on a set of potential fields on the Norwegian cont
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13

Solak, Senay. "Efficient Solution Procedures for Multistage Stochastic Formulations of Two Problem Classes." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19812.

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We consider two classes of stochastic programming models which are motivated by two applications related to the field of aviation. The first problem we consider is the network capacity planning problem, which arises in capacity planning of systems with network structures, such as transportation terminals, roadways and telecommunication networks. We study this problem in the context of airport terminal capacity planning. In this problem, the objective is to determine the optimal design and expansion capacities for different areas of the terminal in the presence of uncertainty in future demand l
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14

Ostermaier, Georg. "Electric power system scheduling by multistage stochastic programming : an optimization approach to profitability in volatile electricity markets /." [S.l.] : [s.n.], 2001. http://aleph.unisg.ch/hsgscan/hm00151473.pdf.

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15

Al-Shayji, Khawla Abdul Mohsen. "Modeling, Simulation, and Optimization of large-Scale Commercial Desalination Plants." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30462.

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This dissertation introduces desalination processes in general and multistage flash (MSF) and reverse osmosis (RO) in particular. It presents the fundamental and practical aspects of neural networks and provides an overview of their structures, topology, strengths, and limitations. This study includes the neural network applications to prediction problems of large-scale commercial MSF and RO desalination plants in conjunction with statistical techniques to identify the major independent variables to optimize the process performance. In contrast to several recent studies, this work utilizes
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16

Li, Mengting Verfasser], and Michael Z. [Akademischer Betreuer] [Hou. "Optimization of multistage hydraulic fracturing treatment for maximization of the tight gas productivity / Mengting Li ; Betreuer: Michael Z. Hou." Clausthal-Zellerfeld : Technische Universität Clausthal, 2019. http://d-nb.info/1231363568/34.

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17

Tekaya, Wajdi. "Risk neutral and risk averse approaches to multistage stochastic programming with applications to hydrothermal operation planning problems." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/47582.

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The main objective of this thesis is to investigate risk neutral and risk averse approaches to multistage stochastic programming with applications to hydrothermal operation planning problems. The purpose of hydrothermal system operation planning is to define an operation strategy which, for each stage of the planning period, given the system state at the beginning of the stage, produces generation targets for each plant. This problem can be formulated as a large scale multistage stochastic linear programming problem. The energy rationing that took place in Brazil in the period 2001/2002 raised
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18

Leng, Yujun. "Preliminary design tools in turbomachinery| Non-uniformly spaced blade rows, multistage interaction, unsteady radial waves, and propeller horizontal-axis turbine optimization." Thesis, Purdue University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10149746.

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<p>Turbomachinery flow fields are inherently unsteady and complex which makes the related CFD analyses computationally intensive. Physically based preliminary design tools are desirable for parametric studies early in the design stage, and to provide deep physical insight and a good starting point for the later CFD analyses. Four analytical/semi-analytical models are developed in this study: 1) a generalized flat plate cascade model for investigating the unsteady aerodynamics of a blade row with non-uniformly spaced blades; 2) a multistage interaction model for investigating rotor-stator inter
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19

Caliari, Daniele. "Development and optimization of surface hardening treatments and anodizing processes." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3422679.

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The optimization of metallic solid surfaces is one of the greatest industrial challenges about surface engineering. Surface hardening treatments are applied to improve the wear resistance of parts without affecting the more tough and soft core of the treated substrates. This doctoral work is focused on the study of gaseous multistage oxynitrocarburizing treatments for low carbon steels and hard-anodizing processes applied on aluminum HPDC components. There is still a lack of knowledge both in literature and in industry about these treatments. The aim of this work is to investigate the micros
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20

Rieß, Steffen [Verfasser]. "Architecture Optimization and Implementation of a Radio Receiver with a Multistage Spectrum Sensing Technique as Part of a Low-Cost Spectrum Sensing Grid / Steffen Rieß." München : Verlag Dr. Hut, 2016. http://d-nb.info/1097818098/34.

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21

Vigerske, Stefan. "Decomposition in multistage stochastic programming and a constraint integer programming approach to mixed-integer nonlinear programming." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2013. http://dx.doi.org/10.18452/16704.

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Diese Arbeit leistet Beiträge zu zwei Gebieten der mathematischen Programmierung: stochastische Optimierung und gemischt-ganzzahlige nichtlineare Optimierung (MINLP). Im ersten Teil erweitern wir quantitative Stetigkeitsresultate für zweistufige stochastische gemischt-ganzzahlige lineare Programme auf Situationen in denen Unsicherheit gleichzeitig in den Kosten und der rechten Seite auftritt, geben eine ausführliche Übersicht zu Dekompositionsverfahren für zwei- und mehrstufige stochastische lineare und gemischt-ganzzahlig lineare Programme, und diskutieren Erweiterungen und Kombinationen d
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22

Mohammadi, Mehrdad. "A multi-objective optimization framework for an inspection planning problem under uncertainty and breakdown." Thesis, Paris, ENSAM, 2015. http://www.theses.fr/2015ENAM0055/document.

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Dans les systèmes manufacturiers de plus en plus complexes, les variations du processus de fabrication et de ses paramètres opératoires ainsi que leurs effets sur l’ensemble du système doivent être maîtrisés, mesurés et contrôlés. Cette thèse propose un cadre d’optimisation pour l’élaboration d’un plan d’inspection optimal qui permet une prise de décision opérationnelle afin d’assurer la satisfaction des objectifs stratégiques (réduction des coûts, amélioration de la qualité, augmentation de la productivité, …). La prise de décision se divise en trois questions : Quoi contrôler ? Comment contr
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23

An, Na. "Resource Modeling and Allocation in Competitive Systems." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6997.

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This thesis includes three self-contained projects: In the first project Bidding strategies and their impact on the auctioneer's revenue in combinatorial auctions, focusing on combinatorial auctions, we propose a simple and efficient model for evaluating the value of any bundle given limited information, design bidding strategies that efficiently select desirable bundles, and evaluate the performance of different bundling strategies under various market settings. In the second project Retailer shelf-space management with promotion effects, promotional investment effects are integrated with
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24

Nasri, Karima. "Frigo pompes à absorption multiétagées de haute performance : simulation et conception d'une maquette expérimentale." Vandoeuvre-les-Nancy, INPL, 1997. http://www.theses.fr/1997INPL054N.

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Ce travail se rapporte à l'étude de pompes à chaleur à absorption multiétagées, dans le but de développer des nouvelles machines frigorifiques de faible puissance pour la climatisation des bâtiments et utilisant la combustion du gaz naturel comme source de chaleur. Ce type de travail fait l'objet d'une demande de plus en plus importante car il s'avère être une solution de substitution intéressante à l'interdiction récente de production et d'utilisation des composés fluorés tels que les CFC (ChloroFluoroCarbures) et les HCFC (HydroChloroFluoroCarbures). Nous proposons donc dans ce travail, des
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25

Frithiof, Fredrik. "A framework for designing a modular muffler system by global optimization." Thesis, KTH, Optimeringslära och systemteori, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-169650.

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When creating a muffler to be installed on a noise generating machine, the design parameters as well as the placements of sound attenuating elements has to be optimized in order to minimize the sound coming out of the equipage. This is exemplified in a small project task for students of a basic course in optimization at KTH. The task is however flawed, since both the way in which the optimization problem is formed is overly simplistic and the algorithm used to solve the problem, fmincon, does not cope well with the mathematical complexity of the model, meaning it gets stuck in a local optimum
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Pendleton, Tyler M. "Design and Fabrication of Rotationally Tristable Compliant Mechanisms." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1552.pdf.

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27

Hussein, Hussein. "Contribution to digital microrobotics : modeling, design and fabrication of curved beams, U-shaped actuators and multistable microrobots." Thesis, Besançon, 2015. http://www.theses.fr/2015BESA2048/document.

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Un nombre de sujets concernant la microrobotique numérique ont été abordés dans le cadre de cette the` se. Une nouvelle génération du microrobot numérique ”DiMiBot” a e´ te´ proposé ce qui rend le DiMiBot plus précis, plus contrôlable et plus petit. La nouvelle structure est formée de deux modules multistables seulement, ce qui ajoute des fonctionnalités´ s importantes comme l’augmentation du nombre de positions avec une taille plus réduite et la capacité´ de réaliser des trajectoires complexes dans l’espace de travail. Le principe du nouveau module multistable combine les avantages des microa
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Ertl, Jakub. "Spolehlivost výkonových olejových transformátorů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2013. http://www.nusl.cz/ntk/nusl-234174.

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The doctoral thesis deals with design of non-invasive methods for estimated reliability analysis of power oil transformers. Such procedures also solve two-state and multistate reliability problems together with applying of gained reliability characteristics in planning further operation of these non-rotating electrical machines. Reliability module for diagnostic system, which is developed at the training workplace, is designed in conclusion of this thesis. All the above procedures were verified on data obtained from diagnostic measurements of ten power oil transformers operating in different p
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Linowsky, Karsten. "Sampling-based decomposition methods in multistage stochastic optimization /." 2005. http://www.gbv.de/dms/zbw/50285023X.pdf.

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30

Chen, Wei 1974. "Multistage stochastic programming models for the portfolio optimization of oil projects." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-08-3884.

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Exploration and production (E&P) involves the upstream activities from looking for promising reservoirs to extracting oil and selling it to downstream companies. E&P is the most profitable business in the oil industry. However, it is also the most capital-intensive and risky. Hence, the proper assessment of E&P projects with effective management of uncertainties is crucial to the success of any upstream business. This dissertation is concentrated on developing portfolio optimization models to manage E&P projects. The idea is not new, but it has been mostly restricted to the conceptual lev
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31

Ming-TsungHung and 洪銘聰. "Using Simulation Optimization to Choose an Optimal Inspection Policy in Multistage Production System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/kwcn27.

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碩士<br>國立成功大學<br>工業與資訊管理學系<br>102<br>The aim of this study is to develop a heuristic for a multistage production system to find the optimal sample size and acceptance number for each stage, which can minimize the total cost while maintaining the required average outgoing quality. The heuristic uses metamodel to reduce the required replications of simulation, and combines with multiple feasibility check procedure to guarantee that the solution we found is feasible with respect to multiple stochastic constraints under a specified confidence level. The heuristic is compared with the OptQuest which
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32

Queiroz, Anderson Rodrigo de. "A sampling-based decomposition algorithm with application to hydrothermal scheduling : cut formation and solution quality." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-12-4690.

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We consider a hydrothermal scheduling problem with a mid-term horizon(HTSPM) modeled as a large-scale multistage stochastic program with stochastic monthly inflows of water to each hydro generator. In the HTSPM we seek an operating policy to minimize the sum of present and expected future costs, which include thermal generation costs and load curtailment costs. In addition to various simple bounds, problem constraints involve water balance, demand satisfaction and power interchanges. Sampling-based decomposition algorithms (SBDAs) have been used in the literature to solve HTSPM. SBDAs can be u
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YANG, PEI-JUN, and 楊佩君. "Design and stepwise set-point optimization for multistage adiabatic reactors subject to catalyst deactivation with interstage heat exchange and cold shot cooling." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/31151593282455931621.

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34

Horejšová, Markéta. "Vícestupňové vnořené vzdálenosti v stochastické optimalizaci." Master's thesis, 2018. http://www.nusl.cz/ntk/nusl-382742.

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Multistage stochastic optimization is used to solve many real-life problems where decisions are taken at multiple times, e.g., portfolio selection problems. Such problems need the definition of stochastic processes, which are usually approxim- ated by scenario trees. The choice of the size of the scenario trees is the result of a compromise between the best approximation and the possibilities of the com- puter technology. Therefore, once a master scenario tree has been generated, it can be needed to reduce its dimension in order to make the problem computation- ally tractable. In this thesis,
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Uhliar, Miroslav. "Ekonomické růstové modely ve stochastickém prostředí." Master's thesis, 2017. http://www.nusl.cz/ntk/nusl-367898.

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Cordeiro, Tiago Alexandre Barrinha. "A global optimization algorithm using trust-region methods and clever multistart." Master's thesis, 2021. http://hdl.handle.net/10362/135864.

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Global optimization is an important scientific domain, not only due to the algorithmic challenges associated with this area, but also due to its practical application in different areas of knowledge, from Biology to Aerospace Engineering. In this work we develop an algorithm based on trust-region methods for solving global optimization problems with derivatives, using a clever multistart strategy, testing its efficiency and effectiveness by comparison with other global optimization algorithms. Based on an idea applied to the resolution of problems in derivative-free optimization, this a
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Huang, Sheng-Fu, and 黃聖富. "Multi-objective Optimization for a Multistate Job- Shop Production Network Using NSGA-II and TOPSIS." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/sw79cy.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>106<br>A job-shop production system (JPS) is a general manufacturing system. In a JPS, each workstation configures multiple types of machines in order to increase flexibility of production. In a JPS, the number of normal machines in each workstation presents multiple levels due to partial failures, unexpected failures, and maintenance, etc. Therefore, it is suitable to state that the number of normal machines in each workstation is stochastic (i.e. multistate). To reflect the phenomenon of stochastic number of normal machines, network reliability can assess the perfo
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