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 24 for “"Genetic optimization"”.
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Genetic optimization applied to via and route strategy
… We evaluated multiple non-gradient-based optimization strategies and compiled data of their performance. From these tests, a genetic algorithm-based strategy was sought due to its fast convergence and the ability to substitute cost functions. In this study, we converted the via placement …
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Application of Multi-Objective Genetic Optimization in PCB Component Placement
… we explored the application of multi-objective genetic optimization in component placements as an alternative method for automating component placement. More specifically, we applied genetic optimization to a two-sided printed circuit board (PCB). We discovered that employing multiple …
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Mitigation of multipath signals in global positioning system receivers using interval and genetic optimization
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1993.
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Design of miniature floating platform for marginal fields
… estimation, hydrodynamic analysis and hull optimization. A self-developed model "Discrete Vortex Ring Model" (DVRM) to efficiently estimate the viscous drag due to the vortex shedding of the oscillatory heave plate is presented in details. This new model DVRM combined with the standard …
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Naval Ship Preliminary Arrangements for Operability and Reduced Vulnerability
… at Virginia Tech. CandRE uses a Multi-Objective Genetic Optimization (MOGO) to explore the design space for non-dominated ship design solutions based on design effectiveness, risk, and cost. Vulnerability is assessed as part of the CandRE using a Preliminary Arrangements and Vulnerability …
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Preliminary Design of an Autonomous Underwater Vehicle Using a Multiple-Objective Genetic Optimizer
… developed herein uses a Multiple Objective Genetic Optimization (MOGO) algorithm. The optimization is implemented in ModelCenter (MC) from Phoenix Integration. It uses a genetic algorithm that searches the design space for optimal, feasible designs by considering three Measures of …
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Against Eternity: A Critical Reading of Transhumanism
… within the discourse of population control and genetic optimization. Tracing early transhuman thinking alongside sterilization and assisted reproduction, I identify a eugenic link between transhumanism and reproductive medicine. I then reveal how contemporary transhumanism functions through a …
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Interoperable software for parametric structural analysis and optimization
… solutions. Both parametric design generation and genetic optimizations were employed, allowing architects and engineers to explore the design space of a structure using metrics important to each field. A case study is performed using the developed software framework to quantify results and …
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Blending Methods for Composite Laminate Optimization
Composite panel structure optimization is commonly decomposed into panel optimization subproblems, with specified local loads, resulting in manufacturing incompatibilities between adjacent panel designs. Using genetic algorithms to optimize local panel stacking sequences allows panel populations of …
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Optimization Frameworks for Discrete Composite Laminate Stacking Sequences
Composite panel structure optimization is commonly decomposed into panel optimization subproblems, with specified local loads, resulting in manufacturing incompatibilities between adjacent panel designs. Using genetic algorithms to optimize local panel stacking sequences allows panel populations of …
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Hydrodynamic Design of Highly Loaded Torque-neutral Ducted Propulsor for Autonomous Underwater Vehicles
… of the surrogate model, and multi-objective genetic optimization algorithm. The CFD model is validated using the paint pattern visualization on the surface of the propeller for an open propeller at model scale. The CFD model is then applied to study hydrodynamics of ducted propellers such as …
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Analysis and optimization of passive knee prosthetic design parameters over varying cadences
… understanding of previous work. We then use a genetic optimization algorithm to optimize parameters across different walking speeds and various spring-damper configurations. The best fit, as measured by the highest R2 value, is obtained when a viscous damper is active during the first …
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Manning Analysis in Naval Ship Concept Design
… at Virginia Tech has developed a Multi-Objective Genetic Optimization process to aid in ship concept exploration. This thesis describes a manning model created to be incorporated into this ship synthesis and optimization. DDG-51 guided missile destroyer manning is used as a baseline for a guided …
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Genetic Algorithms Optimized Potential Fields For Decentralized Group Tasking
… tasks is a difficult and typically NP-hard optimization problem with many real-world applications. In this thesis, we use potential fields based on task and agent properties to control the movement of groups of agents and use a genetic algorithm (GA) to optimize potential field parameter …
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Flexibility for improved design : probabilistic quasi-optimization of building life cycle impacts and costs
… are iteratively identified and specified - and genetic optimization. The latter is found to be more efficient because it identifies solutions with lower impacts and costs while maintaining a higher degree of flexibility in the probabilistic design, as measured by information entropy. In a …
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Timing offset and quantization error trade-off in interleaved multi-channel measurements
… time-interleaved ADCs. Analytical and numerical optimization techniques are presented that rely on the additive noise model for determining non-uniform sampling constellations that maximize SQNR. Optimal constellations for critically sampled systems are always uniform, while solution sets for …
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Manning and Automation Model for Naval Ship Analysis and Optimization
… at Virginia Tech uses a Multi-Objective Genetic Optimization to search the design space for feasible and non-dominated ship concepts based on cost, risk and effectiveness. This requires assessment of thousands of designs without human intervention. The total ship design problem must be …
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Risk Index for Multi-Objective Design Optimization of Naval Ships
… design concepts as part of a Multi-Objective Optimization tool for naval ship concept design. The purpose of this tool is to provide a consistent format and methodology for multi-objective decisions based on dissimilar objective attributes, specifically effectiveness, cost and risk. This …
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Control of sound transmission into payload fairings using distributed vibration absorbers and Helmholtz resonators
… are modified for the multi-mode framework. The optimization of the overall treatment parameters namely location, tuning frequency, and damping of each device is also investigated using genetic algorithm. Noise reduction of up to 9dB from 50Hz to 160Hz using 4% of the cylinder mass for the DVA …
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Energy Storage Planning and Operations For Power Systems
… is definition of an approach for cross-market optimization of energy storage systems that relies on genetic optimization algorithms. This approach applies a nonlinear penalty curve to permit flexible control of the state of charge of an energy storage system. The optimization approach is shown …
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