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 20 for “"Single-objective optimization"”.
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Leveraging Gaussian Process Sampling for Sensitivity Analysis and Optimization in Engineering Design
… in global sensitivity analysis (GSA), optimization, and automated structural health monitoring (SHM). Gaussian processes (GPs) are proposed as a promising solution to this challenge. GPs inherently facilitate efficient sampling strategies, enabling informed decision-making under …
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3D Aerodynamic Optimization of NREL VI Wind Turbine Blade for Increased Power Output and Visualization of Flow Characteristics
<p>The thesis focuses on the aspect of optimization of NREL VI wind turbine blade for increased power output using commercial solver ANSYS 14.5. The power curve obtained from BEMT, Baseline NREL VI CFD Simulations and Optimized Blade Simulations are compared with experimental results. Over …
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Sensitivity-based guided automatic calibration of hydrological models
… Dynamically Dimensioned Search (DDS) global optimization algorithm with Global Sensitivity Analysis (GSA) methods is introduced. This approach, which is called sensitivity-informed DDS, utilizes sensitivity indices to increase the probability of perturbation for the most sensitive parameters, …
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Brushless doubly-fed reluctance machine drive for turbo-electric distributed propulsion systems
… within flux- and current-density limits. A single-objective optimization problem is formulated. The obtained results prove that while designs with equal electrical loadings on both stators, and an initial current phase offset of pi/2 between the two stators, may seem a good design approach, …
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Dynamic energy management system of microgrid
… energy, DERs, and maximize load consumption, an optimization technique is required. In this thesis, to prove the efficacy of selected optimization algorithms, both a single objective EMS (Energy Management System) and a multi-objective EMS are evaluated in either the grid-connected or islanded …
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USING COMPUTATIONAL METHODS TO OPTIMIZE HIGH HEAT FLUX COMPONENT THERMAL PERFORMANCE IN MAGNETIC CONFINEMENT FUSION REACTOR RESEARCH
… heat transfer enhancement and rib geometry optimization to support experimental research for nuclear fusion applications. The project begins by designing and analyzing test sections supporting a helium flow loop assembled at Oak Ridge National Laboratory to analyze heat transfer enhancement …
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Statistical delay QoS driven resource allocation and performance analysis for wireless communication networks
… link-layer throughput analysis. Firstly, a joint optimization problem of link-layer energy efficiency (EE) and EC in a single-user single-carrier communication system, is proposed and investigated, under a delay violation probability requirement and an average transmit power constraint. Formulated …
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Automatic calibration of an urban microclimate model under uncertainty
… an important role in the design, analysis, and optimization of modern energy and environmental systems at building or urban scale. However, due to the extreme complexity of built environments and the sheer number of interacting parameters, it is difficult to obtain an accurate representation of …
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Movement Optimization of Robotic Arms for Energy and Time Reduction using Evolutionary Algorithms
… explores energy consumption and cycle time optimization, using a robot inverse kinematic model for simulation. This research offers insights into the influential factors, including robot type, task performance, and operating conditions, contributing to a more efficient and environmentally …
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A Dynamic Magnetic Equivalent Circuit Model For Design And Control Of Wound Rotor Synchronous Machines
… model was developed to support automated multi-objective design of wound-rotor synchronous machines (WRSMs). In this research, the MEC model and its application have been enhanced. Initial enhancement has focused on using the MEC model to explore machine design and control as a unified problem. …
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Advances in aircraft design: multiobjective optimization and a markup language
… a new Pareto front approximation method for multiobjective optimization problems. The method employs a hybrid optimization approach using two derivative free direct search techniques, and is intended for solving blackbox simulation based multiobjective optimization problems with possibly nonsmooth …
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Thermodynamic Analysis and Optimization of Supercritical Carbon Dioxide Brayton Cycles
… to perform thorough thermodynamic analyses and optimization of S-CO2 Brayton cycles for both of these applications. A modeling tool has been developed, which enables one to predict and analyze the thermodynamic performance of the S-CO2 Brayton cycles in various configurations employing …
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Improving binary optimization algorithms using genuine uniform initialization
… play a crucial role in solving complex optimization problems. The effectiveness of these algorithms is significantly influenced by the initial population of candidate solutions. This thesis investigates the critical aspect of initialization in population-based metaheuristic algorithms. …
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Multiobjective Simulation Optimization Using Enhanced Evolutionary Algorithm Approaches
… these critical real-world decisions involve the optimization not only of multiple objectives simultaneously, but also conflicting objectives, where improving one objective may degrade the performance of one or more of the other objectives. Traditional approaches for solving multiobjective …
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Development of a Multi-objective Variant of the Alliance Algorithm
Optimization methodologies are particularly relevant nowadays due to the ever-increasing power of computers and the enhancement of mathematical models to better capture reality. These computational methods are used in many different fields and some of them, such as metaheuristics, have often been …
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Enhancing meta-heuristic algorithms using center-based sampling at population level
… can be embedded in any population-based optimization algorithm. In classic mutation and crossover operators, the number of parents involved is a few, causing ineffective exploration; however, the current proposed center-based sampling uses a multi-parent approach, which results in …
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Optimization Boosts Decarbonization: Accelerating Net Zero from the Perspective of Carbon Capture and Utilization
… sector. CCU will be the focus in this thesis. Optimization is applied to explore the maximum performance of CCU. CCU contains multiple process options in both the capture and the utilization sections, eventually resulting in a large multi-process system. Optimizing such a multi-process system …
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A framework for integrating chemistry and process synthesis in the analysis of pathways for chemical manufacture
… and 4. Choosing between alternatives: multi objective decision-making and optimization New frameworks for thinking about process chemistry and pathway design are presented. In addition, this thesis also presents a flow sheet for mixed-acid batch nitration, reaction pathways for making various …
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Dimensionally reduced modeling and gradient-based design of microchannel cooling networks
… hydraulic models, a numerical solver and a shape optimization scheme. Another goal of this project is to verify and validate the dimensionally reduced models against a commercial computational fluid dynamics software package and experiments. The final goal is to apply the design tool to various 2D …
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Qualitative and quantitative optimization of skylights : a comprehensive and inclusive analysis of skylight sizes for an office while providing enough daylight, avoiding glare and saving energy
… in this dissertation, encompassing unconstrained optimization, constrained optimization and monetary metrics. In the unconstrained optimization approach, the algorithmic platform has been developed to implement Parametric Analysis (PA) and Gradient Descent (GD) methods in order to optimize …