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 8 of 8 for “"High-Dimensional Optimization"”.
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Derivative-Free Methods for High-Dimensional Optimization with Application to Centrifugal Pump Design
… intractable. For such problems, derivative-free optimization (DFO) methods offer a means of optimizing using only function evaluations. Unfortunately, many of these methods suffer from the curse of dimensionality — that is, as the problem dimension increases, these methods become less effective. …
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Constrained and High-dimensional Bayesian Optimization with Transformers
This thesis advances Bayesian Optimization (BO) methodology through two novel algorithms that address critical limitations in handling constraints and high-dimensional spaces. First, we introduce a constraint-handling framework leveraging Prior-data Fitted Networks (PFNs), a foundation transformer …
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Forecasting and Optimization in Modern Cosmology
… due to the spiralling costs, forecasting and optimization have become critical to help best use and bene t from this new boon. In this thesis various aspects of forecasting and optimization are explored, with particular emphasis on, but not limited to, cosmology. We introduce a new …
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Toward enhancing metaheuristic optimization algorithms using center-based sampling strategies for solving single- and multi- objective large-scale problems
… utilized for solving complex real-world optimization problems. Most metaheuristic algorithms have used stochastic strategies in their initialization as well as during the new candidate solution generation process where there is no a priori knowledge about the solution, which is a common …
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Transport and Beyond: Efficient Optimization over Probability Distributions
The core of classical optimization focuses on the setting where decision variables are vectors in Rⁿ. However, modern applications throughout machine learning, applied mathematics, and engineering demand high-dimensional optimization problems where decision variables are probability distributions. …
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A modified technique in RFID networking planning and optimization
… use of Genetic Algorithm (GA), Bacteria Foraging Optimization (BFO) and Particle Swarm Optimization (PSO) Algorithm. In this research, PSO algorithm was used in the optimization process as it was considered as a very useful, efficient and well known algorithm. However, there are no parameters …
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Efficient characterization and optimization of smart wireless environments
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-05-01
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MODEL-BASED LEARNING AND CONTROL OF ADVECTION-DIFFUSION TRANSPORT USING MOBILE ROBOTS
… applications. Nevertheless, utilization of high-fidelity models, particularly Partial Differential Equations (PDEs), has been hindered for many years due to the lack of adequate computational resources onboard mobile robots. One such problem of interest for the roboticists, that can hugely …