Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 23 for “"Bi-level Optimization"”.
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TOWARDS EFFICIENT LARGE-SCALE BI-LEVEL OPTIMIZATION, ALGORITHMS AND APPLICATIONS
Bi-level optimization is a mathematical framework with a long history of research, dealing with hierarchical optimization problems where one problem is nested within the other. Recently, with the rise of machine learning, bi-level optimization has regained attention as a theoretical framework …
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Bilevel Optimization in the Deep Learning Era: Methods and Applications
Neural networks, coupled with their associated optimization algorithms, have demonstrated remarkable efficacy and versatility across an extensive array of tasks, encompassing image recognition, speech recognition, object detection, sentiment analysis, and more. The inherent strength of neural …
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Voltage Regulation for Distribution Networks with Smart Photovoltaic Inverters
… with sensing, communicating and computing capabilities are able to act autonomously and cooperatively. This dissertation studies the coordinated voltage regulation for distribution networks with smart PV inverters. For the coordination among the large number of smart inverters, we develop an …
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Optimal Deployment of Public Charing Infrastructures in Transportation and Power Network
… in promoting the usage of PEVs is the availability of charging infrastructures. Currently, the PEVs can be recharged at home and in public charging stations. A recharging method still under development and experiment is called dynamic wireless charging lanes. This method could charge the …
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Multi-parametric Programming for Microgrid Operational Scheduling
… of distributed energy sources in a residential level microgrid. The hybrid energy system comprises of renewable (solar photovoltaic and wind turbine), conventional systems (microturbine and utility grid connection), and battery energy storage system. The overall problem is formulated using …
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Modeling, Control, and Impact Analysis of The Next Generation Transportation System
… strategies, and impact analysis at the network level.</p> <p>The first part of the dissertation is devoted to the traffic flow modeling of connected vehicles. This task is the foundation step for transportation planning, optimized network design, efficient traffic control strategies, etc, of the …
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Energy-Constrained UAV-UGV Cooperative Systems: A Bilevel Framework for Routing in Multi-Agent Teams
… response, infrastructure inspection, and urban mobility. However, UAV deployment remains constrained by limited energy capacity and payload restrictions, hindering their effectiveness in long-duration or large-scale missions. This thesis addresses these limitations through a cooperative framework …
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Optimal Operation of Multi-Energy Systems in Integrated Energy Networks with Distributed Peer-to-Peer Energy Transactive Framework
… have gained research attention for their sustainability benefits to energy systems. As a result, this thesis proposes optimal operation models for integrated energy distribution networks with interconnected MES operating in a P2P market. A stochastic bi-level optimization model is formulated for …
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Simulation-Based Decision Making with Streaming Data
… methodologies that integrate simulation, optimization, and learning under uncertainty. This work develops frameworks and algorithms for incorporating streaming data into both simulation-based optimization and reinforcement learning. In the context of ranking and selection, we propose a …
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Task-specific and interpretable feature learning
… between the theoretical soundness and interpretability, and the empirical success of deep models. This dissertation provides a comprehensive discussion on bridging traditional model-based learning approaches that emphasize problem-specific reasoning, and deep models that allow for larger learning …
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Optimal patrol routing and scheduling for parking enforcement considering drivers' parking behavior
… effective enforcement. This thesis considers two levels of problems: i) parking behavior of drivers based on given patrol frequency (but not schedule), and ii) parking enforcement patrol routing and scheduling based on the parking behavior of drivers. Driver determines optimal payment based on the …
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Essays on Sustainability in Agriculture and Food Systems
… in this thesis focuses on promoting sustainability in agriculture, particularly through contract farming. In Chapter 2, we model contract farming as a bi-level optimization problem for a farmer and a company. We analytically demonstrate that different contract structures offer varying …
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Real-time Personalized Tolling with Long-term Objectives
… tolling system that incorporates prediction, optimization and personalization. In addition to optimizing the toll adaptively, an online bi-level optimization problem is formulated to jointly offer personalized discounts. A flexible multi-component objective is designed to consider not only …
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INTEGRATED DYNAMIC DEMAND MANAGEMENT AND MARKET DESIGN IN SMART GRID
… and techniques from game theory, network optimization, and market design are borrowed to model the system as a Stackelberg game. Existence of an equilibrium solution to the problem is proved mathematically, and an algorithm is developed to solve the proposed nonlinear bi-level optimization …
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Co-optimization of Energy and Interruptible Load Reserve for a Strategic Major Consumer of Electricity
… perspective of a strategic consumer with flexibility in demand and ability to offer interruptible load. Industrial demand response is the participation of large consumers in electricity markets, through active management of their consumption in response to prices. Demand response not only …
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Healthy Food Access and Consumption: Informing Interventions Through Analytics
… the impact of, and optimizing, consumer-level interventions for increasing fruit and vegetable consumption among low income households. First, we perform an empirical analysis in order to understand which interventions are most effective as a function of the household attributes (Chapter …
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Efficient and Equitable Travel Demand Management Using Price and Quantity Controls
… to travel demand management termed tradable mobility credits (TMC) has been gaining attention recently. It is a type of quantity control which can avoid the flow of money from users to the regulator and has been shown to have better performance than pricing under demand and supply uncertainty. …
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Developing Computationally Efficient Optimization Framework for Online Routing of UAV-UGV Systems
… can serve as carriers to transport UAVs or as mobile recharging stations to extend their operational range. To achieve effective performance and coordination between UAVs and UGVs, optimal route planning is essential. The UAV-UGV routing problem, being an NP-Hard combinatorial optimization …
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A Coordinated Voltage Management Method Utilizing Battery Energy Storage Systems and Smart PV Inverters in Distribution Networks with High PV and Wind Penetrations
… where the only unpredictable aspect is the load level, the intermittent nature of DG poses additional uncertainty levels for distribution system operators (DSO). The voltage quality problem considers the most restrictive issue that hinders high DG integration into distribution grids. Voltage …
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Designing policy optimization algorithms for multi-agent reinforcement learning
… and actor-critic algorithms essentially solve a bi-level optimization problem by tracking an artificial auxiliary variable in addition to the decision variable and updating them at different rates. We propose a two-time-scale stochastic gradient descent method under a special type of gradient …
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