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Dissertations / Theses on the topic 'Optimization measures'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Lemus, Rodriguez Gerardo José. "Portfolio optimization with quantile-based risk measures." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/16726.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (p. 175-179).<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>In this thesis we analyze Portfolio Optimization risk-reward theory, a generalization of the mean-variance theory, in the cases where the risk measures are quantile-based (such as the Value at Risk (V aR) and the shortfall). We show, using multicriteria theory arguments, that if

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2

Anagnostopoulou, Vasiliki. "Sturmian Measures and Stochastic Dominance in Ergodic Optimization." Thesis, Queen Mary, University of London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.522324.

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3

Aartun, Eirik Nikolai, and Håkon Leknes. "Strategic ambulance location: optimization with multiple performance measures." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for industriell økonomi og teknologiledelse, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-26097.

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Emergency medical services (EMS) have been of interest for operations research since the middle of the 1960s. Since then there have been published numerous articles on the location of ambulances stations, allocation of ambulances, dispatching of vehicles, re-deployment of ambulances and evaluation methods. This thesis presents a new problem for the location of ambulance stations and allocation of ambulances in heterogeneous regions, referred to as the Maximum Expected Performance Location Problem for Heterogeneous Regions (MEPLP-HR). The problem applies multiple performance measures as w

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4

Eschelbach, Gregory D. "Wires-down predictive modeling and preventative measures optimization." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104401.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2016. In conjunction with the Leaders for Global Operations Program at MIT.<br>Thesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2016. In conjunction with the Leaders for Global Operations Program at MIT.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 51-52).<br>In 2012, the Pacific Gas and Electric Company (PG&E) identified overhead wires-down failure events as an important metric f

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5

Opwonya, Nokrach Basil. "Maintaining optimal measures of effectiveness by scenario requirements optimization." Thesis, KTH, Aerodynamik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-163916.

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This thesis proposes a solution on how to manage support resources in such a way that optimized Measures of Effectiveness (MOE), such as Availability and Number of Backorders, are kept within a specified range without incurring the full scale re-optimizations in OPUS10 with every change in operative scenario. This has previously been experienced by FMV. The hypothesis in this study is that the different risks inherent in the different scenarios are the causes of the changes in the MOE. Therefore by capturing the risks involved and treating those risks, it is possible to preempt the risks devel

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6

Chan, Yat-ling, and 陳逸靈. "An optimization algorithm for clustering using weighted dissimilarity measures." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B26667009.

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7

Prastorfer, Andreas. "Simulation-Based Portfolio Optimization with Coherent Distortion Risk Measures." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266382.

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This master's thesis studies portfolio optimization using linear programming algorithms. The contribution of this thesis is an extension of the convex framework for portfolio optimization with Conditional Value-at-Risk, introduced by Rockafeller and Uryasev. The extended framework considers risk measures in this thesis belonging to the intersecting classes of coherent risk measures and distortion risk measures, which are known as coherent distortion risk measures. The considered risk measures belonging to this class are the Conditional Value-at-Risk, the Wang Transform, the Block Maxima and th

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8

Rasmusson, Erik. "Retrocession for Portfolio Optimization in Reinsurance." Thesis, KTH, Optimeringslära och systemteori, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146216.

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Reinsurance is the insurance protection of an insurance company. Retrocession is reinsurance for a portfolio of reinsurance contracts. Reinsurance portfolios can comprise several thousand contracts that may be contingent on the same events, which makes retrocession a complex decision. This thesis develops an optimization model for retrocession, where the aim is to maximize the expected result and satisfy contraints on risk. A review and development of risk measures that can be included in the model is performed. The optimization model is implemented and applied to a large portfolio of reinsura

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9

Woldearegay, Yonas, and Oumar Traore. "Optimization of Nodes in Mixed Network Using Three Distance Measures." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595764.

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ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada<br>This paper presents a method for the management of mixed networks as envisioned in future iNET applications and develops a scheme for global optimal performance for features that include signal to Noise Ratio (SNR), Quality of service (QoS), and Interference. This scheme demonstrates potential for significant enhancement of performance for dense traffic environments envisioned in future telemetry applicatio

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10

Guo, Li Li. "Direct Optimization of Ranking Measures for Learning to Rank Models." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1341520987.

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11

So, Wai King. "New similarity measures and deformation optimization comparisons for medical image registration /." View abstract or full-text, 2009. http://library.ust.hk/cgi/db/thesis.pl?CSED%202009%20SO.

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12

Hughes, Steven Patrick. "Formation Flying Performance Measures for Earth Pointing Missions." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/36483.

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Clusters of low-performance spacecraft flying in formation may provide enhanced performance over single high-performance spacecraft. This is especially true for remote sensing missions where interferometry or stereographic imaging may provide higher resolution data. The configurations of such formations vary during an orbit due to orbital dynamics, and over longer time scales due to perturbations. Selection of a configuration should be based on overall performance of the formation. In this thesis, performance measures are developed and evaluated based on integration over one orbit. The mea

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13

CASTELLI, MAURO. "Measures and methods for robust genetic programming." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2012. http://hdl.handle.net/10281/28571.

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This thesis proposes several measures for a better understanding of the dynamic of the evolutionary process. In particular, measures to control bloat, overfitting and complexity of the solutions are defined. Moreover, several methods to improve the generalization ability of the solutions produced by the standard Genetic Programming (GP) algorithm are proposed. This thesis also focuses on the role of semantic in GP. In particular, a new GP algorithm that uses only semantic information is proposed. Finally, a study on the effect of multi objective optimization in GP is performed.

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Torres-Echeverria, Alejandro C. "Modelling and optimization of Safety Instrumented Systems based on dependability and cost measures." Thesis, University of Sheffield, 2009. http://etheses.whiterose.ac.uk/106/.

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This thesis is centred on modelling and multi-objective optimization of Safety Instrumented Systems (SIS) in compliance with the standard IEC 61508. SIS are in charge of monitoring that the operating conditions of a plant remain under safe limits and free of hazards. Their performance is, therefore, critical for the integrity of people around the plant, the environment, assets and production. A large part of this work is devoted to modelling of SIS. Safety integrity and reliability measures, used as optimization objectives, are quantified by the Average Probability of Failure on Demand (PFDavg

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15

Walters, Joseph D. "Optimization and Thermodynamic Performance Measures of a Class of Finite Time Thermodynamic Cycles." PDXScholar, 1990. https://pdxscholar.library.pdx.edu/open_access_etds/1186.

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Modifications to the quasistatic Carnot cycle are developed in order to formulate improved theoretical bounds on the thermal efficiency of certain refrigeration cycles that produce finite cooling power. The modified refrigeration cycle is based on the idealized endoreversible finite time cycle. Two of the four cycle branches are reversible adiabats, and the other two are the high and low temperature branches along which finite heat fluxes couple the refrigeration cycle with external heat reservoirs. This finite time model has been used to obtain the following results: First, the performance of

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16

Dang, Hieu. "Adaptive multiobjective memetic optimization: algorithms and applications." Journal of Cognitive Informatics and Natural Intelligence, 2012. http://hdl.handle.net/1993/30856.

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The thesis presents research on multiobjective optimization based on memetic computing and its applications in engineering. We have introduced a framework for adaptive multiobjective memetic optimization algorithms (AMMOA) with an information theoretic criterion for guiding the selection, clustering, and local refinements. A robust stopping criterion for AMMOA has also been introduced to solve non-linear and large-scale optimization problems. The framework has been implemented for different benchmark test problems with remarkable results. This thesis also presents two applications of these

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17

Vinel, Alexander. "Mathematical programming techniques for solving stochastic optimization problems with certainty equivalent measures of risk." Diss., University of Iowa, 2015. https://ir.uiowa.edu/etd/1786.

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The problem of risk-averse decision making under uncertainties is studied from both modeling and computational perspectives. First, we consider a framework for constructing coherent and convex measures of risk which is inspired by infimal convolution operator, and prove that the proposed approach constitutes a new general representation of these classes. We then discuss how this scheme may be effectively employed to obtain a class of certainty equivalent measures of risk that can directly incorporate decision maker's preferences as expressed by utility functions. This approach is consequently

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18

Ekdahl, Filipsson Fabian. "Trajectory and Pulse Optimization for Active Towed Array Sonar using MPC and Information Measures." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420532.

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In underwater tracking and surveillance, the active towed array sonar presents a way of discovering and tracking adversarial submerged targets that try to stay hidden. The configuration consist of listening and emitting hydrophones towed behind a ship. Moreover, it has inherent limitations, and the characteristics of sound in the ocean are complex. By varying the pulse form emitted and the trajectory of the ship the measurement accuracy may be improved. This type of optimization constitutes a sensor management problem. In this thesis, a model of the tracking scenario has been constructed deriv

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19

Loza, Olivia G. "Optimizing Non-pharmaceutical Interventions Using Multi-coaffiliation Networks." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc271860/.

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Computational modeling is of fundamental significance in mapping possible disease spread, and designing strategies for its mitigation. Conventional contact networks implement the simulation of interactions as random occurrences, presenting public health bodies with a difficult trade off between a realistic model granularity and robust design of intervention strategies. Recently, researchers have been investigating the use of agent-based models (ABMs) to embrace the complexity of real world interactions. At the same time, theoretical approaches provide epidemiologists with general optimization

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20

Kusch, Lisa [Verfasser], and Nicolas R. [Akademischer Betreuer] Gauger. "Robustness Measures and Optimization Strategies for Multi-Objective Robust Design / Lisa Kusch ; Betreuer: Nicolas R. Gauger." Kaiserslautern : Technische Universität Kaiserslautern, 2020. http://nbn-resolving.de/urn:nbn:de:hbz:386-kluedo-65777.

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21

Scheepers, Christiaan. "Multi-guided particle swarm optimization : a multi-objective particle swarm optimizer." Thesis, University of Pretoria, 2017. http://hdl.handle.net/2263/64041.

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An exploratory analysis in low-dimensional objective space of the vector evaluated particle swarm optimization (VEPSO) algorithm is presented. A novel visualization technique is presented and applied to perform the exploratory analysis. The exploratory analysis together with a quantitative analysis revealed that the VEPSO algorithm continues to explore without exploiting the well-performing areas of the search space. A detailed investigation into the influence that the choice of archive implementation has on the performance of the VEPSO algorithm is presented. Both the Pareto-optimal front (PO

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22

Belli, Riccardo <1994&gt. "Particle Swarm Optimization for entropy-based risk measures in portfolio selection problems: a mean – Entropic-VaR application." Master's Degree Thesis, Università Ca' Foscari Venezia, 2019. http://hdl.handle.net/10579/16090.

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Portfolio selection is a cornerstone of economics and finance. The problem consists in the minimization of a risk measure, while taking into account a series of constraints. Portfolio selection problem was introduced by Markowitz in 1952. His model was the first one to face the problem of how to efficiently invest a given amount of capital. Known also as Modern Portfolio Theory, Markowitz model revolutionized financial market investments. However, this model does present some serious limits and a set of assumptions rather utopic in the real world. In this dissertation we will create a portfoli

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23

Mohebi, Ehsan. "Nonsmooth optimization models and algorithms for data clustering and visualization." Thesis, Federation University Australia, 2015. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/77001.

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Cluster analysis deals with the problem of organization of a collection of patterns into clusters based on a similarity measure. Various distance functions can be used to define this measure. Clustering problems with the similarity measure defined by the squared Euclidean distance have been studied extensively over the last five decades. However, problems with other Minkowski norms have attracted significantly less attention. The use of different similarity measures may help to identify different cluster structures of a data set. This in turn may help to significantly improve the decision maki

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24

Alamdari, Nasrin. "Modeling Climate Change Impacts on the Effectiveness of Stormwater Control Measures in Urban Watersheds." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/84940.

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Climate change (CC) science has made significant progress in development of predictive models. Despite these recent advances, the assessment of CC impacts in urban watersheds remains an area of active research, in part due to the small temporal and spatial scales needed to adequately characterize urban systems. Urban watersheds have been the focus of considerable efforts to restore hydrology and water quality, and the aquatic habitat of receiving waters, yet CC impacts threaten to reduce the effectiveness of these efforts. Thus, assessing the impacts of CC in urban watershed assessment are ess

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25

Gibson, Cuthbert R. "Maximizing the benefits of ITS deployments based on IDAS performance measures and B/C ratios." [Tampa, Fla] : University of South Florida, 2005. http://purl.fcla.edu/usf/dc/et/SFE0001396.

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26

Lewis, Andrew Michael. "Using Stochastic Optimization and Real-Options Models to Value Private Sector Incentives to Invest in Food Protection Measures." Thesis, North Dakota State University, 2006. https://hdl.handle.net/10365/29905.

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Agro-terrorism has become a major concern since the September 11, 2001, terrorist attacks due to characteristics that create unique problems for managing the threat of an agro-terrorist attack. The costs of trucking delays alone were in the tens of millions of dollars. Over the last few years, the government has spent billions of dollars on biological surveillance and record keeping in preventing potential attacks. Several public and private initiatives are currently in use. Examples include 1) the bio-terrorism regulation of 2004 on maintenance of records; 2) establishment of food protection

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Lewis, Andrew (Andrew Michael). "Using Stochastic Optimization and Real-Options Models to Value Private Sector Incentives to Invest in Food Protection Measures." Thesis, North Dakota State University, 2006. https://hdl.handle.net/10365/29905.

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Agro-terrorism has become a major concern since the September 11, 2001, terrorist attacks due to characteristics that create unique problems for managing the threat of an agro-terrorist attack. The costs of trucking delays alone were in the tens of millions of dollars. Over the last few years, the government has spent billions of dollars on biological surveillance and record keeping in preventing potential attacks. Several public and private initiatives are currently in use. Examples include 1) the bio-terrorism regulation of 2004 on maintenance of records; 2) establishment of food protection

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28

Eren, Tuna. "Real-time-optimization Of Drilling Parameters During Drilling Operations." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12611558/index.pdf.

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Real-time optimization of drilling parameters during drilling operations aims to optimize weight on bit, bit rotation speed for obtaining maximum drilling rate as well as minimizing the drilling cost. The process is considered to be formation specific. A statistical method such as multiple linear regression technique has been used for the drilling optimization. An extensive literature survey on drilling optimization was conducted for this research study. A model is developed for this purpose using actual field data collected through modern well monitoring and data recording systems, which pred

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Kardekar, Abhijit Dilip. "MODELING AND OPTIMIZATION OF MACHINING PERFORMANCE MEASURES IN FACE MILLING OF AUTOMOTIVE ALUMINUM ALLOY A380 UNDER DIFFERENT LUBRICATION/COOLING CONDITIONS FOR SUSTAINABLE MANUFACTURING." UKnowledge, 2005. http://uknowledge.uky.edu/gradschool_theses/373.

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The use of cutting fluids in machining process is very essential for achieving desired machining performance. Due to the strict environmental protection laws now in effect, there is a wide-scale evaluation of the use of cutting fluids in machining. Consequently, minimal quantity lubrication (MQL), which uses very small quantity of cutting fluids and still offers the same functionality as flood cooling, can be considered as an alternative solution. This thesis presents an experimental study of face milling of automotive aluminum alloy A380 under four different lubrication/cooling conditions: dr

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30

Simmons, Brian Spencer. "Lowest cost building technology selection for energy efficient design." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45941.

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The thesis project explores the use of an optimization methodology for selecting the lowest monetary cost combinations of technologies to meet a set operational energy efficiency targets for buildings. The optimization approach, which is operated on a normative energy model, is compared with existing prescriptive methodologies for selecting technology combinations and a metric is developed for ranking their effectiveness; the E/C Ratio. The energy savings/ cost ratio is also the objective function that the optimization algorithm is set to maximize. The optimization routine is coded in to a cus

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Smit, Charl Francois. "Reliability based optimization of concrete structural components." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86329.

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Thesis (MEng)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Standards define target reliability levels that govern the safety of designed structures. These target levels should be around an economic optimum for the class of structure under consideration. However, society may have safety requirements in excess of that required to achieve an economic optimum. The LQI criterion can be used to determine society’s willingness to invest in safety, thereby defining a minimum acceptable safety- or reliability level. This thesis determines economically optimised reliability levels for relia

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32

Racheva-Iotova, Borjana. "An Integrated System for Market Risk, Credit Risk and Portfolio Optimization Based on Heavy-Tailed Medols and Downside Risk Measures." Diss., lmu, 2010. http://nbn-resolving.de/urn:nbn:de:bvb:19-123750.

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33

Callert, Gustaf, and Dahlström Filip Halén. "A performance investigation and evaluation of selected portfolio optimization methods with varying assets and market scenarios." Thesis, KTH, Matematisk statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190997.

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This study investigates and evaluates how different portfolio optimization methods perform when varying assets and financial market scenarios. Methods included are mean variance, Conditional Value-at-Risk, utility based, risk factor based and Monte Carlo optimization. Market scenarios are represented by stagnating, bull and bear market data from the Bloomberg database. In order to perform robust optimizations resampling of the Bloomberg data has been done hundred times. The evaluation of the methods has been done with respect to selected ratios and two benchmark portfolios. Namely an equally w

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Dresow, Jana Franziska [Verfasser]. "Optimization of organic potato production : influence of agronomical measures on yield and quality of table potatoes and processing potatoes / Jana Franziska Dresow." Kassel : Universitätsbibliothek Kassel, 2013. http://d-nb.info/1046188526/34.

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35

Baltazar, Cervantes Juan Carlos. "Development of an automated methodology for calibration of simplified air-side HVAC system models and estimation of potential savings from retrofit/commissioning measures." Texas A&M University, 2006. http://hdl.handle.net/1969.1/5026.

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This dissertation provides one methodology to determine potential energy savings of buildings with limited information. This methodology is based upon the simplified energy analysis procedure of HVAC systems and the control of the comfort conditions. Numerically, the algorithm is a tailored exhaustive search over all the independent variables that are commonly controlled for a specific type of HVAC system. The potential energy savings methodology has been applied in several buildings that have been retrofitted and/or commissioned previously. Results from the determined savings for the Zachry b

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Wiesner, Emma. "Optimization and energy efficiency measures in modified combined heat and power plant processes : A case study of changed processes in Mälarenergi power plant." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-324389.

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The EU energy efficiency directive is driving the EU member states to set ambitious goals to increase energy efficiency. Mälarenergi AB is one of the Swedish energy companies, affected by the directive, that have taken an active role in order to increase efficiency within their energy production. This study was initiated to perform energy analysis and find energy optimization measures in the systems attached to one of Mälarenergi’s CHP-units, called P5.The operating conditions of the bio fueled combined heat and power plant, P5, recently changed when the connected boiler, P4, was decided to be

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Aliee, Hananeh [Verfasser], Michael [Gutachter] Glaß, Jürgen [Gutachter] Teich, and Hans-Joachim [Gutachter] Wunderlich. "Reliability Analysis and Optimization of Embedded Systems using Stochastic Logic and Importance Measures / Hananeh Aliee ; Gutachter: Michael Glaß, Jürgen Teich, Hans-Joachim Wunderlich." Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2017. http://d-nb.info/1139171526/34.

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Lind, Kristoffer, and Daniel Gleimar. "Optimering av produktionsflöden för ett byggnadsprojekt." Thesis, KTH, Byggvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-174366.

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I produktionen för ett byggnadsprojekt krävs ett optimalt produktionsflöde för att uppnå bästa ekonomiska och kvalitetsmässiga resultat. Dock uppstår problem i produktionen som leder till ett försämrat produktionsflöde som resulterar i kostnadsökningar och en förlängd byggtid. Målet med detta arbete var att identifiera de problem som uppstår i produktionen för att sedan utvärdera och analysera möjliga åtgärdsförslag på dessa problem. Arbetet har genomförts på uppdrag av företaget X där undersökningar har utförts vid deras projekt Y, som också ligger till grund för resultatet. Genom insamlad i

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Lundberg, Nils. "Evaluation of a high-rise building for passive house classifications in PHPP : Simulation and optimization of energy efficiency measures for residential high-rise buildings in different climates." Thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-127056.

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This thesis is a part of the major EU project EE-Highrise which is a part of the European 7th Framework Research Program (FP7-ENERGY). In order to demonstrate and test new technologies and concepts, a demo building has been constructed in Ljubljana, the capital of Slovenia. The approach during the development of the building has been to consider all its elements with the purpose to increase the energy efficiency and sustainability of the building. Umeå University’s objective is to develop regional specific models of the demo high-rise building. The objective of this thesis is to evaluate wheth

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Cakmak, Ulas. "On risk-averse and robust inventory problems." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44745.

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The thesis focuses on the analysis of various extensions of the classical multi-period single-item stochastic inventory problem. Specifically, we investigate two particular approaches of modeling risk in the context of inventory management: risk-averse models and robust formulations. We analyze the classical newsvendor problem utilizing a coherent risk measure as the objective function. Properties of coherent risk measures allow us to offer a unifying treatment of risk averse and min-max type formulations. We show that the structure of the optimal policy of the risk-averse model is similar to

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Lorenz, Nicole [Verfasser], Gert [Akademischer Betreuer] Wanka, Gert [Gutachter] Wanka, and Gerhard Wilhelm [Gutachter] Weber. "Application of the Duality Theory : New Possibilities within the Theory of Risk Measures, Portfolio Optimization and Machine Learning / Nicole Lorenz ; Gutachter: Gert Wanka, Gerhard Wilhelm Weber ; Betreuer: Gert Wanka." Chemnitz : Universitätsbibliothek Chemnitz, 2012. http://d-nb.info/1214244203/34.

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

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

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Shetty, Bhupesh. "Process pattern mining: identifying sources of assignable error using event logs." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6641.

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This thesis examines the problem of identifying patterns in process event logs that are correlated with binary events that are undetected until the end of the process. Specifically, we consider the task of identifying patterns in a machine shop manufacturing process that are correlated with product defect. We introduce a pattern mining algorithm based on Apriori to identify frequent patterns, and use binary correlation measures to identify patterns associated with elevated defect rate. We design a simulation model to generate synthetic datasets to test our algorithm. We compare the effectivene

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Schlender, Sergio Guilherme. "Desempenho de modelos de otimização em diferentes horizontes de investimento no mercado brasileiro." Universidade Federal de Santa Maria, 2015. http://repositorio.ufsm.br/handle/1/4743.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior<br>This paper proposes a comparative analysis of optimization models through different investment horizons in the Brazilian market. The use of models is based on modifications of the sample covariance matrix (such as shrinkage methods and detection of outliers models) and the replacement as measure of risk of the variance by the Value at Risk (VaR) and Expected Loss (ES). The analysis separates in two different times: in-sample, understood in daily returns between January 2003 and December 2010; and another out-of-sample on a daily ba

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Agbele, Kehinde Kayode. "Context-awareness for adaptive information retrieval systems." Thesis, University of the Western Cape, 2014. http://hdl.handle.net/11394/3845.

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Philosophiae Doctor - PhD<br>This research study investigates optimization of IRS to individual information needs in order of relevance. The research addressed development of algorithms that optimize the ranking of documents retrieved from IRS. In this thesis, we present two aspects of context-awareness in IR. Firstly, the design of context of information. The context of a query determines retrieved information relevance. Thus, executing the same query in diverse contexts often leads to diverse result rankings. Secondly, the relevant context aspects should be incorporated in a way that support

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Karlsson, Joakim. "Energikartläggning och driftoptimering genom behovsstyrning i befintlig fastighet." Thesis, KTH, Tillämpad termodynamik och kylteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-152530.

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Energy supply in Sweden year 2011 amounted to 577 TWh. The final energy consumption for industrial, residential and service was 379 TWh. Sweden has energy policy goals to reduce energy use in buildings. One of these goals is to reduce the energy use by 20 % in 2020 compared to the year 1995. An important step to achieve this goal is to target energy efficiency measures in existing buildings. There are also financial incentives to implement energy efficiency measures due to the fact that the cost of energy represents 30-40% of a buildings maintenance costs. In general, up to 20 % of the energy

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Jardaneh, Mutasem. "Optimal detour planning around blocked construction zones." Master's thesis, University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4940.

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Construction zones are traffic way areas where construction, maintenance or utility work is identified by warning signs, signals and indicators, including those on transport devices that mark the beginning and end of construction zones. Construction zones are among the most dangerous work areas, with workers facing workplace safety challenges that often lead to catastrophic injuries or fatalities. In addition, daily commuters are also impacted by construction zone detours that affect their safety and daily commute time. These problems represent major challenges to construction planners as they

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Meunier, Richard. "Optimization of the elaboration of insulating layers for the gate structures and the passivation of MIS-HEMT transistors on GaN." Thesis, Toulouse 3, 2016. http://www.theses.fr/2016TOU30150/document.

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Les potentialités du nitrure de gallium (GaN) et notamment de l'hétérostructure AlGaN/GaN, semiconducteur à large bande interdite, en font un matériau particulièrement intéressant en électronique de puissance, notamment pour des applications haute tension, haute température et haute fréquence. L'objectif de ce travail de thèse était de développer et d'optimiser l'étape d'isolation de la grille lors la réalisation de transistors MIS-HEMT de puissance sur hétérostructure AlGaN/GaN, le but étant de réduire les courants de fuite de grille sans perturber les propriétés du transistor. Après avoir év

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Sokolova-Maria, Maria. "Risk measure changes and portfolio optimization theory." Thesis, Imperial College London, 2009. http://hdl.handle.net/10044/1/11376.

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Fraher, Richard Louis. "Optimizing roof control using probabilistic techniques in roof failure prediction." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-10062009-020200/.

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