Relevant bibliographies by topics / Online Optimization / Dissertations / Theses
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Dissertations / Theses on the topic 'Online Optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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1

Lu, Xin Ph D. Massachusetts Institute of Technology Operations Research Center. "Online optimization problems." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/82724.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2013.<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 149-153).<br>In this thesis, we study online optimization problems in routing and allocation applications. Online problems are problems where information is revealed incrementally, and decisions must be made before all informat
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2

Sinha, Deeksha. "Optimization for online platforms." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130723.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, February, 2021<br>Cataloged from the official PDF of thesis.<br>Includes bibliographical references (pages 179-189).<br>In the last decade, there has been a surge in online platforms for providing a wide variety of services. These platforms face an array of challenges that can be mitigated with appropriate modeling and the use of optimization tools. In this thesis, we examine, model, and provide solutions to some of the key challenges. First, we focus on the problem of intelligent SMS
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3

Wagner, Michael R. (Michael Robert) 1978. "Online optimization in routing and scheduling." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/36225.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2006.<br>Includes bibliographical references (leaves 169-176).<br>In this thesis we study online optimization problems in routing and scheduling. An online problem is one where the problem instance is revealed incrementally. Decisions can (and sometimes must) be made before all information is available. We design and analyze (polynomial-time) online algorithms for a variety of problems. We utilize worst-case competitive ratio (and relaxations thereof), asymptotic and Monte Carlo simu
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Talebi, Mazraeh Shahi Mohammad Sadegh. "Online Combinatorial Optimization under Bandit Feedback." Licentiate thesis, KTH, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-181321.

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Multi-Armed Bandits (MAB) constitute the most fundamental model for sequential decision making problems with an exploration vs. exploitation trade-off. In such problems, the decision maker selects an arm in each round and observes a realization of the corresponding unknown reward distribution. Each decision is based on past decisions and observed rewards. The objective is to maximize the expected cumulative reward over some time horizon by balancing exploitation (arms with higher observed rewards should be selectedoften) and exploration (all arms should be explored to learn their average rewar
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5

Feng, Siyuan. "Online Hierarchical Optimization for Humanoid Control." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/822.

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This thesis presents an online approach for controlling humanoid robots using hierarchical optimization. While our primary focus is to develop a fast and robust walking controller that is able to follow desired foot steps, full body manipulation capability is also achieved. The proposed hierarchical system consists of three levels: a high level trajectory optimizer that generates nominal center of mass and swing foot trajectories, together with useful information such as a local value function approximation and a linear policy along the nominal trajectory; a middle level receding-horizon contr
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Korolko, Nikita (Nikita E. ). "A robust optimization approach to online problems." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112013.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2017.<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 149-155).<br>In this thesis, we consider online optimization problems that are characterized by incrementally revealed input data and sequential irrevocable decisions that must be made without complete knowledge of the future. W
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Gupta, Swati Ph D. Massachusetts Institute of Technology. "Combinatorial structures in online and convex optimization." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112014.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2017.<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 157-163).<br>Motivated by bottlenecks in algorithms across online and convex optimization, we consider three fundamental questions over combinatorial polytopes. First, we study the minimization of separable strictly convex funct
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Chen, Annie I.-An. "Large-scale optimization in online-retail inventory management." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111854.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.<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 225-232).<br>This thesis studies the related decisions of inventory placement and inventory replenishment in online retail. The placement decision focuses on the selection of fulfillment centers in which to place items, while
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9

Sakaue, Shinsaku. "Online, Submodular, and Polynomial Optimization with Discrete Structures." Kyoto University, 2020. http://hdl.handle.net/2433/253424.

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De, Filippo Allegra <1986&gt. "Hybrid Offline/Online Methods for Optimization Under Uncertainty." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amsdottorato.unibo.it/9425/1/DeFilippo_Allegra_tesi.pdf.

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This work considers multi-stage optimization problems under uncertainty. In this context, at each stage some uncertainty is revealed and some decision must be made: the need to account for multiple future developments makes stochastic optimization incredibly challenging. Due to such a complexity, the most popular approaches depend on the temporal granularity of the decisions to be made. These approaches are, in general, sampling-based methods and heuristics. Long-term strategic decisions (which are often very impactful) are typically solved via expensive, but more accurate, sampling-based appr
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11

Akhavanfoomani, Aria. "Derivative-free stochastic optimization, online learning and fairness." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAG001.

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Dans cette thèse, nous étudions d'abord le problème de l'optimisation d'ordre zéro dans le cadre actif pour des fonctions lisses et trois classes différentes de fonctions : i) les fonctions qui satisfont la condition de Polyak-Łojasiewicz, ii) les fonctions fortement convexes, et iii) la classe plus large des fonctions non convexes fortement lisses.De plus, nous proposons un nouvel algorithme basé sur la randomisation de type l1, et nous étudions ses propriétés pour les fonctions convexes Lipschitz dans un cadre d'optimisation en ligne. Notre analyse est due à la dérivation d'une nouvelle inég
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CESARI, TOMMASO RENATO. "ALGORITHMS, LEARNING, AND OPTIMIZATION." Doctoral thesis, Università degli Studi di Milano, 2020. http://hdl.handle.net/2434/699354.

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This thesis covers some algorithmic aspects of online machine learning and optimization. In Chapter 1 we design algorithms with state-of-the-art regret guarantees for the problem dynamic pricing. In Chapter 2 we move on to an asynchronous online learning setting in which only some of the agents in the network are active at each time step. We show that when information is shared among neighbors, knowledge about the graph structure might have a significantly different impact on learning rates depending on how agents are activated. In Chapter 3 we investigate the online problem of multivariate no
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San, Felice Mário César 1985. "Online facility location and Steiner problems = Problemas online de localização de instalações e de Steiner." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/275552.

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Orientador: Orlando Lee<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-27T12:18:11Z (GMT). No. of bitstreams: 1 SanFelice_MarioCesar_D.pdf: 1457706 bytes, checksum: 4813f4ed44c52462656d56537d73d5dc (MD5) Previous issue date: 2015<br>Resumo: Nesta tese estudamos problemas online das famílias de localização de instalações e de Steiner, através da abordagem de análise competitiva. O objetivo nestes problemas é construir uma rede de custo mínimo para atender a uma determinada demanda. Nós apresentamos resultados conhecidos
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Lara, Ezequiel Franco. "Framework for online modeling, optimization and monitoring of bioprocesses." [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=967218675.

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15

Dunke, Fabian [Verfasser], and S. [Akademischer Betreuer] Nickel. "Online Optimization with Lookahead / Fabian Dunke. Betreuer: S. Nickel." Karlsruhe : KIT-Bibliothek, 2014. http://d-nb.info/1054397694/34.

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16

Radke, Klaus [Verfasser]. "Online optimization in the random-order model / Klaus Radke." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2014. http://d-nb.info/1065963203/34.

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17

Hiller, Benjamin [Verfasser]. "Online Optimization: Probabilistic Analysis and Algorithm Engineering / Benjamin Hiller." München : Verlag Dr. Hut, 2012. http://d-nb.info/1025821319/34.

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18

LIU, Guoming. "Management, Optimization and Evolution of the LHCb Online Network." Doctoral thesis, Università degli studi di Ferrara, 2010. http://hdl.handle.net/11392/2389315.

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The LHCb experiment is one of the four large particle detectors running at the Large Hadron Collider (LHC) at CERN. It is a forward single-arm spectrometer dedicated to test the Standard Model through precision measurements of Charge-Parity (CP) violation and rare decays in the b quark sector. The LHCb experiment will operate at a luminosity of 2x10^32cm-2s-1, the proton-proton bunch crossings rate will be approximately 10 MHz. To select the interesting events, a two-level trigger scheme is applied: the rst level trigger (L0) and the high level trigger (HLT). The L0 trigger is implemente
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BRATTA, ANGELO. "Online Optimization-based Gait Adaptation of Quadruped Robot Locomotion." Doctoral thesis, Università degli studi di Genova, 2023. https://hdl.handle.net/11567/1107764.

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Quadruped robots demonstrated extensive capabilities of traversing complex and unstructured environments. Optimization-based techniques gave a relevant impulse to the research on legged locomotion. Indeed, by designing the cost function and the constraints, we can guarantee the feasibility of a motion and impose high-level locomotion tasks, e.g., tracking of a reference velocity. This allows one to have a generic planning approach without the need to tailor a specific motion for each terrain, as in the heuristic case. In this context, Model Predictive Control (MPC) can compensate for mod
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20

Ileri, Yetkin. "Dray Optimization in Truck/Rail Networks." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/13968.

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Daily drayage operations involve moving loaded or empty equipment between customer locations and rail ramps. Drayage orders are generally pickup and delivery requests with time windows. The repositioning of empty equipment may also be required in order to facilitate loaded movements. The drayage orders are satisfied by a heterogeneous fleet of drivers. Driver routes must satisfy various operational constraints. In the first part of the dissertation, our goal is to minimize the cost of daily drayage operations in a region on a given day. We present an optimization methodology for finding cos
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21

Kardos, Péter. "Performance optimization ofthe online data processing softwareof a high-energy physics experiment : Performance optimization ofthe online data processing softwareof a high-energy physics experiment." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-404475.

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The LHCb experiment probes the differences between matter and anti-matter by examining particle collisions. Like any modern high energy physics experiment, LHCbrelies on a complex hardware and software infrastructure to collect and analyze the data generated from particle collisions. To filter out unimportant data before writing it to permanent storage, particle collision events have to be processed in real-time which requires a lot of computing power. This thesis focuses on performance optimizations of several parts of the real-timedata processing software: i) one of the particle path reconst
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22

Sherikov, Alexander. "Model predictive control of a walking bipedal robotusing online optimization." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-25727.

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Humanoid robotics is a challenging and promising research field. Legged locomotion is one of the most important aspects of it. In spite of the progress achieved in the last years in control of walking robots, many problems are yet to be resolved. The inherent complexity of such robots makes their control a difficult task even on the modern hardware. In order to address this issue approximate models and high performance algorithms are employed. This thesis is focused on the model predictive control of a walking bipedal robot, which is approximated by an inverted pendulum, using online optimizat
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23

Li, Genzi. "Online and offline approximations for population based multi-objective optimization." College Park, Md. : University of Maryland, 2007. http://hdl.handle.net/1903/7322.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Mechanical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Lee, Gilsoo. "Online Optimization for Edge Computing under Uncertainty in Wireless Networks." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/97909.

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Edge computing is an emerging technology that can overcome the limitations of centralized cloud computing by enabling distributed, low-latency computation at a network edge. Particularly, in edge computing, some of the cloud's functionalities such as storage, processing, and computing are migrated to end-user devices called edge nodes so as to reduce the round-trip delay needed to reach the cloud data center. Despite the major benefits and practical applications of using edge computing, one must address many technical challenges that include edge network formation, computational task allocatio
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Verdugo, Silva Víctor Ignacio. "Convex and online optimization: Applications to scheduling and selection problems." Tesis, Universidad de Chile, 2018. http://repositorio.uchile.cl/handle/2250/168128.

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Doctor en Sistemas de Ingeniería en cotutela con Ecole Normale Supérieure<br>Convex optimization has been a powerful tool for designing algorithms. In practice is a widely used in areas such as operations research and machine learning, but also in many fundamental combinatorial problems they yield to the best know approximations algorithms providing unconditional guarantees over the solution quality. In the first part of this work we study the effect of constructing convex relaxations to a packing problem, based on applying lift & project methods. We exhibit a weakness of this relaxations whe
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Ochel, Marcel [Verfasser]. "Approximation and online algorithms for selected network optimization problems / Marcel Ochel." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2013. http://d-nb.info/1035688484/34.

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27

Salomatin, Konstantin. "Large-scale hierarchical optimization for online advertising and wind farm planning." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/337.

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This thesis develops a framework to investigate and design novel optimization methods for two important problems: computational advertising (particularly, sponsored search) and wind farm turbine-layout planning. Whereas very different in specifics, both problems share some common abstractions. The existing solution in sponsored search is based on a greedy pay-per-click auction and is suitable only for advertisers seeking a direct response. It does not apply to advertisers who target certain numbers of clicks in a predefined time period. To address this new challenge, we introduce a unified opt
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Jankovic, Anja. "Towards Online Landscape-Aware Algorithm Selection in Numerical Black-Box Optimization." Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS302.

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Les algorithmes d'optimisation de boîte noire (BBOA) sont conçus pour des scénarios où les formulations exactes de problèmes sont inexistantes, inaccessibles, ou trop complexes pour la résolution analytique. Les BBOA sont le seul moyen de trouver une bonne solution à un tel problème. En raison de leur applicabilité générale, les BBOA présentent des comportements différents lors de l'optimisation de différents types de problèmes. Cela donne un problème de méta-optimisation consistant à choisir l'algorithme le mieux adapté à un problème particulier, appelé problème de sélection d'algorithmes (AS
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Tanwir, Sarmad. "Online Techniques for Enhancing the Diagnosis of Digital Circuits." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/82736.

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The test process for semiconductor devices involves generation and application of test patterns, failure logging and diagnosis. Traditionally, most of these activities cater for all possible faults without making any assumptions about the actual defects present in the circuit. As the size of the circuits continues to increase (following the Moore's Law) the size of the test sets is also increasing exponentially. It follows that the cost of testing has already surpassed that of design and fabrication. The central idea of our work in this dissertation is that we can have substantial savings in
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Zeck, Christiane Regina [Verfasser]. "Efficient Algorithms for Online Delay Management and Railway Optimization / Christiane Regina Zeck." München : Verlag Dr. Hut, 2012. http://d-nb.info/1022535080/34.

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31

Abualsauod, Emad. "Integrating Multiobjective Optimization with the Six Sigma Methodology for Online Process Control." Doctoral diss., University of Central Florida, 2013. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5896.

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Over the past two decades, the Define-Measure-Analyze-Improve-Control (DMAIC) framework of the Six Sigma methodology and a host of statistical tools have been brought to bear on process improvement efforts in today's businesses. However, a major challenge of implementing the Six Sigma methodology is maintaining the process improvements and providing real-time performance feedback and control after solutions are implemented, especially in the presence of multiple process performance objectives. The consideration of a multiplicity of objectives in business and process improvement is commonplace
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McMullen, Jonathan Patrick. "Automated microreactor system for reaction development and online optimization of chemical processes." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62064.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 162-175).<br>Developing the optimal conditions for chemical reactions that are common in fine chemical and pharmaceutics is a difficult and expensive task. Because syntheses in these fields have multiple reaction pathways, a significant number of experiments are required to determine the conditions that maximize the yield of the desired product. With few exceptions, these experiments have been performed in flask reactor
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Lavandero, Ivelic Martín Carlos. ""Interest rate optimization for consumer credits: Empirical evidence from an online Channel"." Tesis, Universidad de Chile, 2019. http://repositorio.uchile.cl/handle/2250/170445.

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34

Ahmadinia, Ali. "Optimization algorithms for dynamically reconfigurable embedded systems." Berlin : Köster, 2006. http://deposit.ddb.de/cgi-bin/dokserv?id=2793299&prov=M&dok_var=1&dok_ext=htm.

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Zang, Shizhe. "ONLINE RESOURCE RESERVATION FORMOBILE EDGE COMPUTING SERVICES." Thesis, University of Sydney, 2021. https://hdl.handle.net/2123/24523.

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Over the last decade, the world has witnessed the rapid penetration and proliferation of the Internet of Things (IoT). With the rise of smart IoT applications, the edge of the computer network is envisioned to be the data processor, which refers to as mobile edge computing (MEC). Instead of processing tasks locally, the IoT applications offload computational intensive tasks to the MEC server for processing. As a large portion of smart IoT applications are event-triggered, MEC users have very limited information about future tasks, which includes the communication as well as computing resour
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Kang, Keeryun. "Online optimal obstacle avoidance for rotary-wing autonomous unmanned aerial vehicles." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44820.

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This thesis presents an integrated framework for online obstacle avoidance of rotary-wing unmanned aerial vehicles (UAVs), which can provide UAVs an obstacle field navigation capability in a partially or completely unknown obstacle-rich environment. The framework is composed of a LIDAR interface, a local obstacle grid generation, a receding horizon (RH) trajectory optimizer, a global shortest path search algorithm, and a climb rate limit detection logic. The key feature of the framework is the use of an optimization-based trajectory generation in which the obstacle avoidance problem is formu
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Wang, Jie S. M. Massachusetts Institute of Technology. "Multi-period optimal network flow and pricing strategy for commodity online retailer." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/55082.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2009.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 65).<br>This thesis aims to study the network of a nationwide distributor of a commodity product. As we cannot disclose the actual product for competitive reasons, we will present the research in terms of a similar, representative product, namely salt for ice prevention across United States. The distribution network includes four kinds of nodes, sources, buffer locations at sources, storage points and de
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Minerva, Michela. "Automated Configuration of Offline/Online Algorithms: an Empirical Model Learning Approach." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22649/.

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The energy management system is the intelligent core of a virtual power plant and it manages power flows among units in the grid. This implies dealing with optimization under uncertainty because entities such as loads and renewable energy resources have stochastic behaviors. A hybrid offline/online optimization technique can be applied in such problems to ensure efficient online computation. This work devises an approach that integrates machine learning and optimization models to perform automatic algorithm configuration. It is inserted as the top component in a two-level hierarchical optimiz
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Ströhle, Philipp [Verfasser], and C. [Akademischer Betreuer] Weinhardt. "Integrating Consumer Flexibility in Smart Grid and Mobility Systems - An Online Optimization and Online Mechanism Design Approach / Philipp Ströhle. Betreuer: C. Weinhardt." Karlsruhe : KIT-Bibliothek, 2014. http://d-nb.info/1067496882/34.

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Oliveira, Tiago Miguel Brites. "Recursive neuro fuzzy techniques for online identification and control." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10552.

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Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores<br>The main goal of this thesis will be focused on developing an adaptative closed loop control solution, using fuzzy methodologies. A positive theoretical and experimental contribution, regarding modelling and control of fuzzy and neuro fuzzy systems, is expected to be achieved. Proposed non-linear identification solution will use for modelling and control, a recurrent neuro fuzzy architecture. Regarding model solution, a state space approach will be considered during fuzzy consequent local model
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Cunningham, James. "Efficient, Parameter-Free Online Clustering." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1606762403895603.

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Jafarbigloo, Azita. "Optimization and Simulation of the Medical Device Sterilization in Hospitals." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42415.

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There is no doubt Medical Devices have a crucial role in hospital processes such as surgeries and therapeutic procedures. Medical devices available in hospitals are of two types; reusable and non-resalable medical devices. Reusable medical devices are washed and sterilized after each use. The process of sterilizing medical devices is performed in the sterilization department. Each medical device travels through a cycle each time it is utilized. It is explicit that any part of the sterilization cycle that delays the process can cause serious problems for hospitals’ performance. The washing step
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Rehme, Koy D. "An Internal Representation for Adaptive Online Parallelization." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd2939.pdf.

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Vaswani, Kapil. "An Adaptive Recompilation Framework For Rotor And Architectural Support For Online Program Instrumentation." Thesis, Indian Institute of Science, 2003. https://etd.iisc.ac.in/handle/2005/174.

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Although runtime systems and the dynamic compilation model have revolutionized the process of application development and deployment, the associated performance overheads continue to be a cause for concern and much research. In the first part of this thesis, we describe the design and implementation of an adaptive recompilation framework for Rotor, a shared source implementation of the Common Language Infrastructure (CLI) that can increase program performance through intelligent recompilation decisions and optimizations based on the program's past behavior. Our extensions to Rotor include a l
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Vaswani, Kapil. "An Adaptive Recompilation Framework For Rotor And Architectural Support For Online Program Instrumentation." Thesis, Indian Institute of Science, 2003. http://hdl.handle.net/2005/174.

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Microsoft Research<br>Although runtime systems and the dynamic compilation model have revolutionized the process of application development and deployment, the associated performance overheads continue to be a cause for concern and much research. In the first part of this thesis, we describe the design and implementation of an adaptive recompilation framework for Rotor, a shared source implementation of the Common Language Infrastructure (CLI) that can increase program performance through intelligent recompilation decisions and optimizations based on the program's past behavior. Our extension
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Fredericks, Dana Kathleen. "Optimization of intermittent aeration for increased nitrogen removal efficiency and improved settling." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/50427.

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Nitrogen, when present in excess, can cause eutrophication in waterways, which may result in hypoxia and the desertion or death of aquatic life. As nitrogen continues to pollute our water, wastewater discharge limits are becoming more stringent with effluent limits based on preserving receiving waters. This project took place at the Hampton Roads Sanitation District's, Chesapeake-Elizabeth Wastewater Treatment Plant; a High-Rate Activated Sludge (HRAS) plant with no primary clarifiers operating at an SRT of 1.5" 2 days without biological nitrogen removal (BNR). BNR is considered more co
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Cazenave, Timothee. "Peak-seeking control of propulsion systems." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44805.

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Propulsion systems like Turboprop engines are generally designed to operate at a narrow range of optimum steady state performance conditions. However, these conditions are likely to vary in an unpredictable manner according to factors such as components aging, structural damages or even the operating environment. Over time, inefficiencies could add up and can lead to expensive fuel consumption or faster component aging. This thesis presents a self-optimizing control scheme, referred as Peak-seeking control, applied to propulsion systems similar to Turboprop engines. Using an extended Kalman fi
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48

Porfirio, Carlos Roberto. "Implantação de otimizador online acoplado ao controle preditivo (MPC) de uma coluna de Tolueno." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-31052011-164903/.

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O objetivo principal desta tese foi a implantação de uma nova estratégia para a integração da otimização em tempo real (RTO), com o controle preditivo multivariável em uma unidade de processo industrial. A solução proposta pode ser considerada como uma estratégia de uma camada, na qual os problemas de controle e otimização econômica são resolvidos simultaneamente, na mesma camada da estrutura de controle. Supondo que o objetivo econômico a ser maximizado (minimizado) seja uma função côncava (convexa) das entradas e saídas de processo, o controlador MPC com otimização econômica (OMPC) foi obtid
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49

Botha, Marlene. "Online traffic engineering for MPLS networks." Thesis, Stellenbosch : Stellenbosch University, 2004. http://hdl.handle.net/10019.1/50049.

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Thesis (MSc) -- Stellenbosch University, 2004.<br>ENGLISH ABSTRACT: The Internet is fast evolving into a commercial platform that carries a mixture of narrow- and broadband applications such as voice, video, and data. Users expect a certain level of guaranteed service from their service providers and consequently the need exists for efficient Internet traffic engineering to enable better Quality of Service (QoS) capabilities. Multi-protocol Label Switching (MPLS) is a label switching protocol that has emerged as an enabling technology to achieve efficient traffic engineering for QoS mana
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Marshall, Oliver. "Search Engine Optimization and the connection with Knowledge Graphs." Thesis, Högskolan i Gävle, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-35165.

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Aim: The aim of this study is to analyze the usage of Search Engine Optimization and Knowledge Graphs and the connection between them to achieve profitable business visibility and reach. Methods: Following a qualitative method together with an inductive approach, ten marketing professionals were interviewed via an online questionnaire. To conduct this study both primary and secondary data was utilized. Scientific theory together with empirical findings were linked and discussed in the analysis chapter. Findings: This study establishes current Search Engine Optimization utilization by businesse
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