Now showing items 91-110 of 158

    • Network flow problems and congestion games : complexity and approximation results 

      Meyers, Carol, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2006)
      (cont.) We first address the complexity of finding an optimal minimum cost solution to a congestion game. We consider both network and general congestion games, and we examine several variants of the problem concerning the ...
    • New algorithms in machine learning with applications in personalized medicine 

      Zhuo, Ying Daisy (Massachusetts Institute of Technology, 2018)
      Recent advances in machine learning and optimization hold much promise for influencing real-world decision making, especially in areas such as health care where abundant data are increasingly being collected. However, ...
    • New applications in Revenue Management 

      Thraves Cortés-Monroy, Charles Mark (Massachusetts Institute of Technology, 2017)
      Revenue Management (RM) is an area with important advances in theory and practice in the last thirty years. This thesis presents three different new applications in RM with a focus on: the firms' perspective, the government's ...
    • New approaches for integrating revenue and supply chain management 

      Elmachtoub, Adam Nabil (Massachusetts Institute of Technology, 2014)
      First, we describe a general framework called online customer selection that describes natural settings where suppliers must actively select which customer requests to serve. Unlike traditional revenue management models ...
    • New neighborhood search algorithms based on exponentially large neighborhoods 

      Ergun, Özlem, 1974- (Massachusetts Institute of Technology, 2001)
      A practical approach for solving computationally intractable problems is to employ heuristic (approximation) algorithms that can find nearly optimal solutions within a reasonable amount of computational time. An improvement ...
    • New procedures for visualizing data and diagnosing regression models 

      Menjoge, Rajiv (Rajiv Shailendra) (Massachusetts Institute of Technology, 2010)
      This thesis presents new methods for exploring data using visualization techniques. The first part of the thesis develops a procedure for visualizing the sampling variability of a plot. The motivation behind this development ...
    • New statistical techniques for designing future generation retirement and insurance solutions 

      Zhu, Zhe (Massachusetts Institute of Technology, 2014)
      This thesis presents new statistical techniques for designing future generation retirement and insurance solutions. It addresses two major challenges for retirement and insurance products: asset allocation and policyholder ...
    • Nonconvex robust optimization 

      Teo, Kwong Meng (Massachusetts Institute of Technology, 2007)
      We propose a novel robust optimization technique, which is applicable to nonconvex and simulation-based problems. Robust optimization finds decisions with the best worst-case performance under uncertainty. If constraints ...
    • Online optimization in routing and scheduling 

      Wagner, Michael R. (Michael Robert), 1978- (Massachusetts Institute of Technology, 2006)
      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 ...
    • Online optimization problems 

      Lu, Xin, Ph. D. Massachusetts Institute of Technology. Operations Research Center (Massachusetts Institute of Technology, 2013)
      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 information is ...
    • Operational decisions and learning for multiproduct retail 

      Pixton, Clark (Clark Charles) (Massachusetts Institute of Technology, 2018)
      We study multi-product revenue management problems, focusing on the role of uncertainty in both the seller and the customer decision processes. We begin by considering a logit model framework for personalized revenue ...
    • Operations management in a large online retailer : inventory, scheduling and picking 

      Chen, Chongli Daniel (Massachusetts Institute of Technology, 2018)
      Online retail has grown rapidly in the last decade. Consumers enjoy the convenience of online shopping and home delivery, as well as a vast product assortment. From the business perspective, serving customers directly from ...
    • An Operations Research approach to aviation security 

      Martonosi, Susan Elizabeth (Massachusetts Institute of Technology, 2005)
      Since the terrorist attacks of September 11, 2001, aviation security policy has remained a focus of national attention. We develop mathematical models to address some prominent problems in aviation security. We explore ...
    • Optimal routes for electric vehicles facing uncertainty, congestion, and energy constraints 

      Fontana, Matthew William (Massachusetts Institute of Technology, 2013)
      There are many benefits of owning a battery electric vehicle, including zero tailpipe emissions, potential independence from oil, lower fuel costs, and the option to recharge the battery at home. However, a significant ...
    • Optimal trees for prediction and prescription 

      Dunn, Jack William (Massachusetts Institute of Technology, 2018)
      For the past 30 years, decision tree methods have been one of the most widely-used approaches in machine learning across industry and academia, due in large part to their interpretability. However, this interpretability ...
    • Optimization and equilibrium in dynamic networks and applications in traffic systems 

      Lin, Maokai (Massachusetts Institute of Technology, 2015)
      This thesis discusses optimization problems and equilibrium in networks. There are three major parts of the thesis. In the first part, we discuss optimization in dynamic networks. We focus on two fundamental optimization ...
    • Optimization models and methods for storage yard operations in maritime container terminals 

      Galle, Virgile (Massachusetts Institute of Technology, 2018)
      Container terminals, where containers are transferred between different modes of transportation both on the seaside and landside, are crucial links in intercontinental supply chains. The rapid growth of container shipping ...
    • Optimization of airport terminal-area air traffic operations under uncertain weather conditions 

      Pfeil, Diana Michalek (Massachusetts Institute of Technology, 2011)
      Convective weather is responsible for large delays and widespread disruptions in the U.S. National Airspace System, especially during summer. Although Air Traffic Flow Management algorithms exist to schedule and route ...
    • Optimization of influenza vaccine strain selection 

      Wu, Joseph T. (Joseph Tszkei), 1977- (Massachusetts Institute of Technology, 2003)
      The World Health Organization (WHO) is responsible for making annual vaccine strains recommendation to countries around the globe. However, various studies have found that the WHO vaccine selection strategy has not been ...
    • Optimization under moment, robust, and data-driven models of uncertainty 

      Doan, Xuan Vinh (Massachusetts Institute of Technology, 2010)
      We study the problem of moments and present two diverse applications that apply both the hierarchy of moment relaxation and the moment duality theory. We then propose a moment-based uncertainty model for stochastic ...