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Browsing Operations Research Center by Title

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  • A Rational Approach to Governmental Decision Concerning Air Pollution 
    Ellis, Howard M.; Keeney, Ralph L. (Massachusetts Institute of Technology, Operations Research Center, 1971-08)
    This paper addresses a problem common to many government agencies--trying to specify a regulatory policy that is in some sense best for a given situation. Such questions demand the consideration of multiple conflicting ...
  • Real-time Multi-period truckload routing problems 
    Limpaitoon, Tanachai (Massachusetts Institute of Technology, 2008)
    In this thesis we consider a multi-period truckload pick-up and delivery problem dealing with real-time requests over a finite time horizon. We introduce the notion of postponement of requests, whereby the company can ...
  • Reference guide to the framework presented in "Implementing reusable solvers : an objected-oriented framework for operations research algorithms" 
    Ruark, John Douglas, 1971-; Massachusetts Institute of Technology. Operations Research Center (Massachusetts Institute of Technology, Operations Research Center, 1998)
  • Relaxation and exact algorithms for solving mixed integer-quadratic optimization problems 
    Tziligakis, Constantine Nikolaos (Massachusetts Institute of Technology, 1999)
  • Resource allocation in stochastic processing networks : performance and scaling 
    Zhong, Yuan, Ph.D. Massachusetts Institute of Technology. Operations Research Center (Massachusetts Institute of Technology, 2012)
    This thesis addresses the design and analysis of resource allocation policies in largescale stochastic systems, motivated by examples such as the Internet, cloud facilities, wireless networks, etc. A canonical framework ...
  • A response time estimator for police patrol dispatching 
    Schaack, Christian; Larson, Richard C., 1943-; Massachusetts Institute of Technology. Operations Research Center (Massachusetts Institute of Technology, Operations Research Center, 1984)
  • Restaurant revenue management 
    Shioda, Romy, 1977- (Massachusetts Institute of Technology, 2002)
  • Restless Bandits, Linear Programming Relaxations and a Primal-Dual Heuristic 
    Bertsimas, Dimitris J.; Nino-Mora, Jose (Massachusetts Institute of Technology, Operations Research Center, 1994-08)
    We propose a mathematical programming approach for the classical PSPACE - hard problem of n restless bandits in stochastic optimization. We introduce a series of n increasingly stronger linear programming relaxations, the ...
  • Return on Investment Analysis for Facility Location 
    Myung, Young-soo; Tcha, Dong-wan (Massachusetts Institute of Technology, Operations Research Center, 1991-05)
    We consider how the optimal decision can be made if the optimality criterion of maximizing profit changes to that of maximizing return on investment for the general uncapacitated facility location problem. We show that the ...
  • Risk Independence and Multiattributed Utility Functions 
    Keeney, Ralph L. (Massachusetts Institute of Technology, Operations Research Center, 1971-06)
    The concepts of conditional risk aversion, the conditional risk premium, and risk independence pertaining to multiattributed utility functions are defined. The latter notion is then generalized to what is called utility ...
  • Robust airline schedule planning : review and development of optimization approaches 
    Agbokou, Claudine Biova, 1979- (Massachusetts Institute of Technology, 2004)
    Major airlines aim to generate schedules that maximize profit potential and satisfy constraints involving flight schedule design, fleet assignment, aircraft maintenance routing and crew scheduling. Almost all aircraft and ...
  • Robust estimation, regression and ranking with applications in portfolio optimization 
    Nguyen, Tri-Dung, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2009)
    Classical methods of maximum likelihood and least squares rely a great deal on the correctness of the model assumptions. Since these assumptions are only approximations of reality, many robust statistical methods have been ...
  • Robust model selection and outlier detection in linear regressions 
    McCann, Lauren, Ph. D. Massachusetts Institute of Technology (Massachusetts Institute of Technology, 2006)
    In this thesis, we study the problems of robust model selection and outlier detection in linear regression. The results of data analysis based on linear regressions are highly sensitive to model choice and the existence ...
  • Robust optimization 
    Sim, Melvyn, 1971- (Massachusetts Institute of Technology, 2004)
    We propose new methodologies in robust optimization that promise greater tractability, both theoretically and practically than the classical robust framework. We cover a broad range of mathematical optimization problems, ...
  • A robust optimization approach to finance 
    Pachamanova, Dessislava A. (Dessislava Angelova), 1975- (Massachusetts Institute of Technology, 2002)
    An important issue in real-world optimization problems is how to treat uncertain coefficients. Robust optimization is a modeling methodology that takes a deterministic view: the optimal solution is required to remain ...
  • Robust optimization for network-based resource allocation problems under uncertainty 
    Marla, Lavanya (Massachusetts Institute of Technology, 2007)
    We consider large-scale, network-based, resource allocation problems under uncertainty, with specific focus on the class of problems referred to as multi-commodity flow problems with time-windows. These problems are at the ...
  • Robust optimization, game theory, and variational inequalities 
    Aghassi, Michele Leslie (Massachusetts Institute of Technology, 2005)
    We propose a robust optimization approach to analyzing three distinct classes of problems related to the notion of equilibrium: the nominal variational inequality (VI) problem over a polyhedron, the finite game under payoff ...
  • Robust planning for Effects-Based Operations 
    Bryant, Corban Harrell (Massachusetts Institute of Technology, 2006)
    In this thesis. we introduce and analyze methods of creating theater-level robust mission plans for Effects Based Operations (EBO) of teams of Unmanned Aerial Vehicles (UAVs), and propose methods of effectively presenting ...
  • Robust, risk-sensitive, and data-driven control of Markov Decision Processes 
    Le Tallec, Yann (Massachusetts Institute of Technology, 2007)
    Markov Decision Processes (MDPs) model problems of sequential decision-making under uncertainty. They have been studied and applied extensively. Nonetheless, there are two major barriers that still hinder the applicability ...
  • Route optimization under uncertainty for Unmanned Underwater Vehicles 
    Cates, Jacob Roy (Massachusetts Institute of Technology, 2011)
    As our technology continues to increase, our military wishes to reduce the risk service members endure by using unmanned vehicles. These unmanned vehicles will, over time, become more independent and trustworthy in our ...
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