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 12 of 12 for “"optimization solvers."”.
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Global Non-Convex Optimization with Integer Variables
Non-convex optimization refers to the process of solving problems whose objective or constraints are non-convex. Historically, this type of problems have been very difficult to solve to global optimality, with traditional solvers often relying on approximate solutions. Bertsimas et al. [1] …
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High-performance evolutionary computation for scalable spatial optimization
Spatial optimization (SO) is an important and prolific field of interdisciplinary research. Spatial optimization methods seek optimal allocation or arrangement of spatial units under spatial constraints such as distance, adjacency, contiguity, partition, etc. As spatial granularity becomes finer …
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Messaging for large-scale distributed computation with factor graphs
… Factor Graph Computing framework: (a) Integer Optimization for hard problems, (b) Page-Rank, and (c) Singular Value Decomposition (SVD). We implement Factor Graph Computing on top of two different PubSub systems: Redis's out-of-the-box PubSub and a PubSub that we have built on top of the Ligra …
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Machine Learning and Quantum Computing for Optimization Problems in Power Systems
While optimization problems are ubiquitous in all domains of engineering, they are of critical importance to power systems engineers. A safe and economical operation of the power systems entails solving many optimization problems such as security-constrained unit commitment, economic dispatch, …
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Large-Scale Airline Recovery using Mixed-Integer Optimization and Supervised Learning
… prevent airlines from using a full-scale optimization approach. This thesis proposes fast solution methods that combine mixed-integer optimization and supervised machine learning techniques to find better solutions to large-scale airline recovery problems than those found with other exact …
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Power allocation in energy harvesting two-way relay systems
… node. Under these two assumptions, we study the optimization problem of harvesting energy allocation which maximizes the total data throughput of a wireless network under some restrictions at the EH node(s). In the first scenario, only the relay node is powered up by the harvested energy and the …
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Computational Experience with Linear Optimization and Related Problems
… is wellknown that the efficiency of mathematical optimization software is integrally linked to the preprocessing techniques employed by software. Existing preprocessing techniques are reviewed, and the relative cost and effectiveness of these techniques are explored. Scaling is the most common …
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Assortment and inventory optimization : from predictive choice models to near-optimal algorithms
… in the context of assortment and inventory optimization, through theoretical and empirical investigation. First, we tightly characterize the complexity of general nonparametric assortment optimization problems. We reveal connections to maximum independent set and combinatorial pricing …
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Autonomous optimal trajectory design employing convex optimization for powered descent on an asteroid
… investigates the following questions: Can convex optimization be used to design the minimum propellant powered descent trajectory for a soft landing on an asteroid? Is this method robust and reliable to allow autonomy onboard the spacecraft without interaction from ground control? This research …
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Optimal Mitigation of Geomagnetically Induced Current Effects in Power Systems Considering Transformer Thermal Limits
… problem, and the cost of BD is very high, so optimization techniques should be employed for BD placement to minimize the number and costs of BDs. Although there has been research on placing blocking devices and their optimal placement, none of them considers the hotspot temperature rise in …
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Optimal design and operation of energy polygeneration systems
… revenues and larger equipment sizes. A two-stage optimization formulation for is used for the optimal design and operation of flexible energy polygeneration systems, which simultaneously optimizes design decision variables (e.g., equipment sizes) and operational decision variables (e.g., …
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Immersed Interface Method for Elasticity Problems with Interfaces
… advantage: no re-meshing is needed. A local optimization strategy is employed to determine the finite difference equations at grid points near or on the interface. The bi-conjugate gradient method and the GMRES with preconditioning are both implemented to solve the resulting linear systems of …