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 6 of 6 for “"surrogate optimization"”.
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Surrogate optimization with algebraic notes and applications within the electromagnetics context
This thesis deals with surrogate optimization for applications within the electromagnetics context. Regarding the electromagnetics context, in particular, the magnetoquasistatic model of Maxwell’s theory is discussed. Moreover, relevant points regarding the magnetoquasistatic model’s numerical …
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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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Programming with Neural Surrogates of Programs
Surrogate programming, the act of replacing programs with surrogate models of their behavior, is being increasingly leveraged to solve software development challenges. Surrogates are typically machine learning models trained on input-output examples of the program under consideration. With …
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Learning-accelerated algorithms for simulation and optimization
Simulation and optimization are fundamental building blocks for many computational methods in science and engineering. In this work, we explore the use of machine learning techniques to accelerate compute-intensive tasks in both simulation and optimization. Specifically, two algorithms are …
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OPTIMIZATION FOR CALIBRATION OF WATER RESOURCES SYSTEMS INCLUDING NEW PARALLEL GLOBAL ALGORITHMS AND APPLICATIONS TO HYDRODYNAMICS AND WATER QUALITY LAKE PDE MODELS
This thesis introduces efficient parallel optimization algorithms for computationally expensive optimization problems and applies them to water resources issues. A new parallel surrogate global optimization algorithm PODS is developed and successfully applied to the calibration of two …
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Data Driven Surrogate Based Optimization in the Problem Solving Environment WBCSim
… coupling between the analysis codes and the optimization routines can be prohibitively time consuming. One way of tackling this problem is by constructing computationally cheap(er) approximations of the expensive simulations, that mimic the behavior of the simulation model as closely as …