School of Industrial and Systems Engineering Theses and Dissertations
Original work in partial fulfillment of a graduate degree in the School of Industrial and Systems Engineering.
All materials in SMARTech are protected under U.S. Copyright Law and all rights are reserved. Such materials may be used, quoted or reproduced for educational purposes only with prior permission, provided proper attribution is given. Any redistribution, reproduction or use of the materials, in whole or in part, is prohibited without prior permission of the author.
Recent Submissions
-
An Investigation of Model-Based Approaches in Solving a Variety of Global Optimization Problems
(Georgia Institute of Technology, 2017-04-03)Model-based optimization methods are a class of random search methods that are useful for solving global optimization problems. These types of methods have shown significant empirical success in solving a multitude of ... -
A Reduction Framework for Approximate Extended Formulations and a Faster Algorithm for Convex Optimization
(Georgia Institute of Technology, 2017-04-06)Linear programming (LP) and semidefinite programming (SDP) are among the most important tools in Operations Research and Computer Science. In this work we study the limitations of LPs and SDPs by providing lower bounds on ... -
Scaling-based Methods in Optimization and Cut Generation
(Georgia Institute of Technology, 2017-03-30)This thesis addresses both theoretical and practical concerns in integer programming. In Chapter 2 we discuss scaling-based primal methods for integer programming. Such methods optimize by repeatedly solving augmentation ... -
Estimation and Optimization Problems in Revenue Management with Customer Choice Behavior
(Georgia Institute of Technology, 2017-01-13)The first part of the thesis studies the parameter estimation problem in revenue management with discrete choice models. Revenue management models that include customer choice behavior have among others two types of ... -
Sparsity in Integer Programming
(Georgia Institute of Technology, 2017-01-11)Sparse input data is data in which most of the data coefficients are zero. Many areas of scientific computing and optimization have been very successful in harnessing the effect of sparsity of input data to improve the ... -
Combined Objective Least Squares and Long Step Primal Dual Subproblem Simplex Methods
(Georgia Institute of Technology, 2016-04-27)The first part of this research work is based on Combined Objective Least Squares (COLS). We took a deeper look at matrix decomposition algorithms that are the dominating components in COLS algorithms, in terms of computational ... -
Resource allocation algorithms in stochastic systems
(Georgia Institute of Technology, 2016-11-15)My dissertation work examines resource allocation algorithms in stochastic systems. I use applied probability methodology to investigate large-scaled stochastic systems. Specifically, my research focuses on proposing and ... -
Theory and computation of sparse cutting planes
(Georgia Institute of Technology, 2016-11-09)Cutting plane plays an important role in the theory and computation of integer programming. Nowadays, most state-of-the-art integer programming solvers tend to bias their cutting plane selection towards sparse ones, which ... -
Cost-effective management of chronic diseases: surveillance, treatment, and elimination
(Georgia Institute of Technology, 2016-11-15)Chronic diseases have become the most common health problems worldwide. The cost of chronic disease management continues to rise, leading to a substantial economic burden to both patients and society. Mathematical models ... -
Novel Statistical Learning and Data Mining Methods for Service Systems Improvement
(Georgia Institute of Technology, 2016-11-07)This dissertation focuses on solving problems for service systems improvement using newly developed data mining methods. Among a large plethora of problems in this realm, this dissertation attempts to solve three distinct ... -
Performance Optimization of Complex Resource Allocation Systems
(Georgia Institute of Technology, 2016-09-13)The typical control objective for a sequential resource allocation system (RAS) is the optimization of some (time-based) performance index, while ensuring the logical/behavioral correctness of the underlying automated ... -
Computational Analysis of Technological Innovation in Complex Enterprise Systems
(Georgia Institute of Technology, 2015-11-16)Technological innovation in complex enterprise systems requires coordinated interplay between a heterogeneous set of industrial players. The complexity in how firms form relationships with each other perplexes the ... -
Large-Scale Unit Commitment: Decentralized Mixed Integer Programming Approaches
(Georgia Institute of Technology, 2015-08-19)We investigate theory and application of decentralized optimization for mixed integer programming (MIP) problems. Our focus is on loosely coupled MIPs where different blocks of the problem have mixed integer linear feasible ... -
Dynamic optimization for same-day delivery operations
(Georgia Institute of Technology, 2016-11-15)Same-day delivery (SDD) is a service where consumers place orders online on the same day that these are processed and delivered to the customer. Providing a delivery service requires order management at the stocking location ... -
Minimum energy designs: Extensions, algorithms, and applications
(Georgia Institute of Technology, 2016-07-27)Minimum Energy Design (MED) is a recently proposed technique for generating deterministic samples from any arbitrary probability distribution. Most space-filling designs look for uniformity in the region of interest. In ... -
Optimal admission control in tandem and parallel queueing systems with applications to computer networks
(Georgia Institute of Technology, 2016-07-25)Modern computer networks require advanced, efficient algorithms to control several aspects of their operations, including routing data packets, access to secure systems and data, capacity and resource allocation, task ... -
Robust optimization for renewable energy integration in power system operations
(Georgia Institute of Technology, 2016-07-20)Optimization provides critical support for the operation of electric power systems. As power systems evolve, enhanced operational methodologies are required, and innovative optimization models have the potential to support ... -
Efficient computation in stochastic optimization and simulation: Dynamic programs, risk quantification, and risk optimization
(Georgia Institute of Technology, 2016-07-26)Stochastic optimization and simulation are two of the most fundamental research areas in Operations Research. In this thesis, we develop efficient computational approaches for three important topics in the realm of stochastic ... -
Global optimization methods for optimal power flow and transmission switching problems in electric power systems
(Georgia Institute of Technology, 2016-07-19)Power engineering is concerned with the generation, transmission, and distribution of electricity over electric power network, which is arguably one of the largest engineering systems in the world. The size of electric ... -
On spare parts supply chains with forward stocking location recourse
(Georgia Institute of Technology, 2016-05-13)This thesis investigates how a service provider responsible for completing repairs of durable goods deployed throughout a region can improve profitability by reconfiguring its existing supply chain. This supply chain ...
RSS 1.0