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-
- Description:
- In this dissertation, we aim to develop a theoretical understanding of foundation models and reinforcement learning. We delve into a comprehensive analysis of specific aspects within these domains. The focal points of our study are as follows: • Generative Adversarial Imitation Learning (GAIL) with Neural Networks: GAIL is poised to...
- Keyword:
- Reinforcement Leanring, In-Context Learning, Imitation Leanring, and Transformer
- Subject:
- Statistics and Operations research
- Creator:
- Zhang, Yufeng
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 08/23/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_1013414 and http://dissertations.umi.com/northwestern:16740
-
- Description:
- Derivative-free optimization (DFO) has received growing attention due to important problems arising in practice. Various research communities, ranging from machine learning to engineering design, have adopted distinct DFO methods. In this thesis, we present extensive studies as a meaningful step towards a comprehensive understanding of DFO methods. We study the...
- Subject:
- Operations research
- Creator:
- Xuan, Melody Qiming
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 08/23/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16779 and etdadmin_upload_1014300
-
- Description:
- Submodularity is a well-known concept in integer programming and combinatorial optimization. Submodular set functions capture the diminishing returns phenomenon, which has wide-ranging applications in various domains. Typically, a submodular set function models the utility of homogenous items selected from a single ground set. Selecting an item or not is naturally...
- Keyword:
- mixed-integer programming, polyhedral, convex hull, and nonlinear optimization
- Subject:
- Operations research
- Creator:
- Yu, Qimeng
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 08/23/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_1013578 and http://dissertations.umi.com/northwestern:16754
-
- Description:
- This dissertation presents novel advancements in the field of continuous nonlinear optimization, focusing on the development of efficient second-order methods for second-order conic programs (SOCPs) and continuous nonlinear two-stage optimization problems. The primary focus is on the theory and computations of Sequential Quadratic Programming (SQP) methods, which are widely used...
- Keyword:
- Nonlinear Optimization, Second-order Cone Programs, Two-stage Optimization, and Sequential Quadratic Programming
- Subject:
- Industrial engineering and Operations research
- Creator:
- Luo, Xinyi
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 08/23/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_1013576 and http://dissertations.umi.com/northwestern:16752
-
- Description:
- Volunteers play an essential role in humanitarian and non-profit organizations that strive to improve society. 30% of the population in the United States volunteered in 2019, and this percentage has been stable for the past two decades. This dissertation is motivated by the scheduling decision process in nonprofit organizations. These...
- Keyword:
- volunteer scheduling and nonprofit operations
- Subject:
- Logic and Operations research
- Creator:
- Escallon-Barrios, Mariana
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 08/23/2023
- Date Created:
- 2023-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16687 and etdadmin_upload_1009527
-
- Description:
- This dissertation studies the integration of analytical modeling and optimization, machine learning, and Bayesian learning to optimize cost, access, and quality of healthcare delivery. Chapter 1 models computer-aided triage (patient prioritization) as feature-based priority queuing where types (diseases) are not perfectly observed but are inferred from observed features using a...
- Subject:
- Operations research
- Creator:
- Singh, Simrita
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_918485 and http://dissertations.umi.com/northwestern:16166
-
- Description:
- For stochastic simulation optimization in a modern computing era, we introduce a new parallel framework for solving very large-scale problems using a ranking & selection (R&S) approach that simulates all systems or feasible solutions to provide a global statistical guarantee. We propose a parallel adaptive survivor selection (PASS) framework that...
- Keyword:
- master-worker, simulation, parallel, stochastic, large-scale, and optimization
- Subject:
- Applied mathematics, Statistics, and Operations research
- Creator:
- Pei, Linda
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_903888 and http://dissertations.umi.com/northwestern:16108
-
- Description:
- This dissertation contains three essays that study the operational challenges in healthcare-related fields. We strive to integrate analytical modeling and empirical methods to study decision-making under uncertainty for practice- and data-driven problems. We use large-scale datasets (millions) gathered from years of data collection. To gain access to these proprietary data,...
- Keyword:
- Healthcare, Resource Sharing, and Data-Driven
- Subject:
- Operations research
- Creator:
- Jiang, Yangzi
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_903140 and http://dissertations.umi.com/northwestern:16089
-
- Description:
- Market growth is an important goal for consumer businesses, often leading to lower marginal cost, higher operational efficiency, and larger assortment size - all of which help achieve dominance over competition. Yet, retailers and manufacturers alike should carefully manage their supply chains to sustain growth in customer base and extract...
- Subject:
- Operations research
- Creator:
- Glinskiy, Vadim
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_878312 and http://dissertations.umi.com/northwestern:15922
-
- Description:
- Travel time is a key aspect of capturing and evaluating the operational performance and service quality of transportation systems, and travel time improvement is a common objective for travelers, service providers, transportation practitioners and agencies. However, the reliability of travel times, including the probability of unexpected delays, is an important...
- Keyword:
- algorithms, networks, travel time reliability, stochastic networks, routing, and path finding
- Subject:
- Transportation, Operations research, and Civil engineering
- Creator:
- Filipovska, Monika
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_850853 and http://dissertations.umi.com/northwestern:15794
-
- Description:
- Recently, machine learning and deep learning, which have made many theoretical and empir- ical breakthroughs and is widely applied in various fields, attract a great number of researchers and practitioners. They have become one of the most popular research directions and plays a sig- nificant role in many fields, such...
- Keyword:
- Algorithm Design, Deep Learning, Optimization, and Machine Learning
- Subject:
- Applied mathematics and Operations research
- Creator:
- Fang, Biyi
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15817 and etdadmin_upload_855647
-
- Description:
- Existing nonlinear optimization methods have proven reliable over the past few decades for a wide range of applications but have critically relied on accurate function and gradient evaluations. Modern nonlinear optimization problems arising from machine learning and scientific computing applications are increasingly complex and large scale, which make accurate evaluations...
- Keyword:
- Finite differences, Nonlinear optimization, Stochastic optimization, Noisy optimization, Quasi-Newton methods, and Derivative-free optimization
- Subject:
- Applied mathematics, Operations research, and Computer science
- Creator:
- Shi, Hao-Jun Michael
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_848013 and http://dissertations.umi.com/northwestern:15785
-
- Description:
- In this dissertation we consider how simple operational levers affect a firm's revenue and consumer surplus. In particular, we focus on information disclosure as an useful control for omnichannel services.In the first chapter we consider a revenue-maximizing service firm that caters to price and delay-sensitive customers. The firm offers a...
- Keyword:
- Pricing in Queuing Systems, Strategic Queuing, Information Disclosure, Omnichannel Services, Digital Innovation, and Service Operations
- Subject:
- Management and Operations research
- Creator:
- Ghosh, Abhishek
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15646 and etdadmin_upload_832994
-
- Description:
- This dissertation focuses on applications of statistical methods in nancial markets and isdivided into three parts. The rst part proposes an accurate variable-order cumulant approximation method for Black-style shadow interest rate models respecting the zero lower bound and estimates the interest rates models on historical bond yield data using the...
- Subject:
- Operations research
- Creator:
- Zhao, Muchen
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 10/07/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_845207 and http://dissertations.umi.com/northwestern:15757
-
- Description:
- This dissertation is motivated by the decision process of the supply chain team of a major furniture retailer that delivers its products at the customer's home. In retail supply chains for companies offering home delivery services, demand surges are observed at the store level, which translate to a high volume...
- Keyword:
- retail, home delivery, supply chain, customer behavior, demand information, and transportation
- Subject:
- Management, Transportation, and Operations research
- Creator:
- Boada-Collado, Pol
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15544 and etdadmin_upload_817419
-
- Description:
- The overall theme in this thesis is about eliciting and leveraging information to improve algorithms in Operations Management, with an emphasis on tractable and integrated approach of estimation and optimization. The main tool that I will be using is Robust Optimization, and the applications in my work vary from online...
- Subject:
- Operations research
- Creator:
- Ow, Yam Huo
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/28/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_819660 and http://dissertations.umi.com/northwestern:15584
-
- Description:
- This dissertation investigates a number of models and algorithms in the context of optimization under uncertainty. The focus is on risk-averse optimization, where risk aversion is modeled via stochastic dominance, utility theory, and distributionally robust optimization. We first investigate an investment model with fixed contribution rates, optimize asset-allocation decisions in...
- Keyword:
- Stochastic Programming, Wasserstein distance, and Distributionally robust optimization
- Subject:
- Operations research
- Creator:
- Duque Villarreal, Daniel
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_763341 and http://dissertations.umi.com/northwestern:15241
-
- Description:
- We consider the statistical study of partially observed queueing systems arising in application areas such as hospital networks, data centers and cloud computing systems. Since these services operate under strict performance requirements, a statistical understanding of their performance is of great practical interest. A key challenge in these settings is...
- Subject:
- Operations research
- Creator:
- Proskynitopoulos, Alexej
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15419 and etdadmin_upload_781003
-
- Description:
- This dissertation contains three essays that study the operational challenges and business innovations in service industries. We investigate how service providers could use wisely designed business models and service systems to induce preferable customer behaviors, and therefore manage demand and optimize revenue. Using a stylized model, we study how customers...
- Keyword:
- Revenue Management, Service Operations, Empirical Research, Online Platforms, Customer Behavior, and Queueing
- Subject:
- Business administration and Operations research
- Creator:
- Li, Simin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_749521 and http://dissertations.umi.com/northwestern:15160
-
- Description:
- Multistage optimization is a prominent modeling tool to solve a broad range of dynamic decision-making problems in the presence of uncertainty. However, computing optimal policies is intractable, since they are obtained by considering all possible realizations of uncertainties and subsequent future decisions over time. To overcome these challenges, we present...
- Keyword:
- Robust Optimization, Multistage Optimization, Dynamic Policies, Distributionally Robust Optimization, and Adaptive Policies
- Subject:
- Industrial engineering and Operations research
- Creator:
- Han, Eojin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15200 and etdadmin_upload_756991
-
- Description:
- Simulation studies are virtually all motivated by decision making. Because simulation output is stochastic and input models are never perfect, all decisions should include an accounting for risks. Input model risk refers to the exposure due to imperfect simulation input models that are estimated from real-world data, involving both the...
- Keyword:
- model averaging, input modeling, input model risk, local sensitivity measures, sensitivity analysis, and input uncertainty
- Subject:
- Operations research
- Creator:
- JIANG, XI
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_763007 and http://dissertations.umi.com/northwestern:15233
-
- Description:
- The thesis is concerned with the design and control of large-scaled queueing systems that are operated under heavy traffic, focusing on the following two research questions: For a given queueing system, how to find a proper heavy-traffic limit that accurately approximates various performance metrics? For multi-class queueing systems, how to...
- Keyword:
- Heavy-Traffic and Queueing
- Subject:
- Operations research
- Creator:
- Yu, Lun
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15285 and etdadmin_upload_764958
-
- Description:
- Optimization via simulation (OvS) is the practice of minimizing or maximizing the expected value of the output of a stochastic simulation model with respect to controllable decision variables. Stochastic simulation is a standard tool within operations research and is often required to model complex systems subject to uncertainty where it...
- Keyword:
- Optimization via Simulation, Optimization, and Stochastic Simulation
- Subject:
- Industrial engineering and Operations research
- Creator:
- Semelhago, Mark
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15377 and etdadmin_upload_779793
-
- Description:
- While optimization has received much attention in the machine learning community, most of them consider unconstrained supervised learning models such as neural networks and support vector machine. In this dissertation, we introduce a new class of optimization problems called scale invariant problems that include interesting unsupervised learning models such as...
- Keyword:
- Power Iteration, PCA, Optimization, Machine Learning, Scale Invariance, and KL-NMF
- Subject:
- Applied mathematics and Operations research
- Creator:
- Kim, Cheolmin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15139 and etdadmin_upload_744178
-
- Description:
- Across the United States, public school districts are facing critical budget crises. To keep cuts away from the classroom, bus transportation is a common area to look for cost reductions. This thesis studies two fundamental problems that arise in public school transportation: the bus route design problem and the school...
- Subject:
- Operations research
- Creator:
- Zeng, Liwei
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 01/21/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15120 and etdadmin_upload_743801
-
- Description:
- In this dissertation, we study models and methods to address uncertainties that can vary in optimization problems. Robust optimization is a popular approach for optimization under uncertainty, especially if limited information is available about the distribution of the uncertainty. It models the uncertainty through sets and finds a robust optimal...
- Keyword:
- variable uncertainty, optimization, decision dependent uncertainty, and robust optimization
- Subject:
- Industrial engineering and Operations research
- Creator:
- Sharma, Kartikey
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/29/2020
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_718511 and http://dissertations.umi.com/northwestern:14998
-
- Description:
- Demand Response (DR) is an approach that allows electricity users to actively participate in keeping supply-demand balance in power systems, or its future version, smart grid, in order to increase the system efficiency, lower consumers' electricity bills, and thus improve social welfare. To encourage users' participation in DR, a time-varying...
- Keyword:
- Price Discrimination, Smart Grid, Demand Response, Price Responsiveness, Sensitivity Analysis, and Dynamic Pricing
- Subject:
- Electrical engineering and Operations research
- Creator:
- Xiang, Ding
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/28/2020
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_719699 and http://dissertations.umi.com/northwestern:15016
-
- Description:
- The dissertation consists of three self-contained papers. In Chapter 1, we study the inventory management problem in a dual sourcing system, where there are two supply sources or modes with different sourcing costs and lead times. We provide closed-form solutions to a robust optimization model for inventory management in a...
- Keyword:
- Dual sourcing, Behavioral operations, Inventory management, Robust optimization, Field experiment, and Warehouse operations
- Subject:
- Management, Business administration, and Operations research
- Creator:
- Sun, Jiankun
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_663394 and http://dissertations.umi.com/northwestern:14688
-
- Description:
- The goal of this thesis is to design practical algorithms for nonlinear optimization in the case where the objective function is deterministic or stochastic. Problems of this nature arise in many applications including machine learning and image processing. The thesis is divided into four main chapters. Chapters \ref{chap:Inexact}, \ref{chap:Adasample} and...
- Subject:
- Industrial engineering and Operations research
- Creator:
- Bollapragada, Vijaya Raghavendra
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14659 and etdadmin_upload_662754
-
- Description:
- Cancer radiation therapy relies on optimized treatment plans whose quality assessment is judged by dosimetric planning aims. It is computationally prohibitive to incorporate the planning aims into the optimization models. Therefore, there exists a disconnect between the two steps of (1) optimizing a plan and (2) evaluating the optimized plan,...
- Keyword:
- Planning Aims, Robust Optimization, Data Driven, Radiation Therapy, and Knowledge Driven
- Subject:
- Industrial engineering and Operations research
- Creator:
- Shojaei, Sayyedeh Nastaran
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14806 and etdadmin_upload_685183
-
- Description:
- Owing to policy action as well as continued cost declines, solar and wind resources are projected to play a central role in many future electricity systems. Since the technological characteristics and cost structures of these resources differ significantly from traditional thermal technologies, many have questioned how market designs will need...
- Keyword:
- Market design and Power systems
- Subject:
- Operations research
- Creator:
- Mays, Jacob
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14660 and etdadmin_upload_662781
-
- Description:
- The vast majority of interactions between customers and service providers are experiences that extend over time. Service systems that deliver excellent customer experience achieve greater customer satisfaction and therefore customer loyalty, and eventually raise revenue. The temporal aspects of service delivery have not yet been analyzed as carefully as its...
- Keyword:
- Predictive Analytics, Service Operations, Satisfaction, Wait-time, and Markov Decision Process
- Subject:
- Industrial engineering and Operations research
- Creator:
- Ansari, Sina
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_617413 and http://dissertations.umi.com/northwestern:14402
-
- Description:
- Two recent developments in the transportation industry – shared-use mobility services and fully-autonomous vehicles (AVs) – have the potential to fundamentally transform urban mobility. Shared-use mobility services (e.g. Uber, Lyft, Via, Chariot, ZipCar, and Car2go) are already beginning to bridge the gap between personal vehicles and fixed-route transit service in...
- Keyword:
- Dynamic Vehicle Routing, Stochastic Dynamic Control Problem, Mobility-on-Demand, Shared Mobility, and Autonomous Vehicles
- Subject:
- Transportation, Operations research, and Urban planning
- Creator:
- Hyland, Michael Francis
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14470 and etdadmin_upload_627240
-
- Description:
- This dissertation studies topics in health care operations management related to value-based care, where {\em value} can be thought of as the ratio of quality to cost. The objective in value-based care is to increase, or maximize, value by reducing costs and improving quality health outcomes. In Chapter 1 we...
- Subject:
- Health care management and Operations research
- Creator:
- Grant, Benjamin Noah
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14606 and etdadmin_upload_661472
-
- Description:
- This thesis consists of three projects, centered around the aim to better model real-world systems under uncertainty, specifically, under stochastic disruptions, using optimization. A stochastic disruption is a type of infrequent event in which the timing and the magnitude are random. We introduce the concept of stochastic disruptions and a...
- Keyword:
- Syringe exchange program, Stochastic disruption, Robust optimization, Stochastic programming, and Optimal power flow
- Subject:
- Operations research
- Creator:
- Yang, Haoxiang
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14795 and etdadmin_upload_684485