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 27 for “"Evolutionary optimization"”.
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Evolutionary Optimization Of Support Vector Machines
… as a stronger mathematical background based on optimization and statistical learning theory. This thesis deals with the problem of model selection with support vector machines, that is, the problem of finding the optimal parameters that will improve the performance of the algorithm. It is shown …
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Multi-objective evolutionary optimization in time-changing environments
This research is focused on the creation of evolutionary optimization techniques for the solution of time-changing multi-objective problems. Many optimization problems, ranging from the design of controllers for time-variant systems to the optimal asset allocation in financial portfolios, need to …
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Evolutionary Optimization of Neural Architectures for Remaining Useful Life Prediction
… process. To overcome this issue, we propose evolutionary neural architecture search (NAS) techniques that explore a search space using a genetic algorithm (GA). NAS automatically discovers the optimal architectures of neural networks for RUL predictions. Our GA allows an efficient search, …
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Hydraulic modeling and evolutionary optimization for enhanced real-time decision support of combined sewer overflows
Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Seth Robbins (robbins.sd@gmail.com) on 2014-01-16T18:19:40Z Item is restricted until 2016-01-16T18:19:34Z
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A penalty-free multi-objective evolutionary optimization approach for the design and rehabilitation of water distribution systems
… constrained financial budget, the application of optimization has inevitably become an integral part of managing a water distribution system (WDS) right from the initial phase of designing a new system to the latter stage of the network where rehabilitation and upgrading works are a necessity. …
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Integrating interactive evolutionary exploration and parametric structural design
… these issues, this research combines interactive evolutionary optimization and parametric modeling to develop a new computational strategy for creative and high-performance conceptual structural design. Parametric modeling allows for quick exploration of complex geometries and can be combined with …
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MDEA : malware detection with evolutionary adversarial learning
… model that combines a neural network and evolutionary optimization attack samples to make the network robust against evasion attacks. By retraining the model with the evolved malware samples, network performance improves a big margin.
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Repetitive project scheduling using genetic algorithms
… the schedules of repetitive projects with an evolutionary optimization technique. The Genetic Algorithm is used to search for the best schedule by varying the crew size and work continuity requirements of the project activities. The schedules which have lower work continuity and do not meet …
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Biomass Characterization and Insulation Optimization Studies
… (GA) can be used to achieve multi-objective optimization entailing maximizing insulation (minimizing heat transfer) and simultaneously maximizing sustainability (minimizing carbon footprint) of a designed insulation structure. The two resulting nonlinear competing objective functions will be …
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Intelligent fault diagnosis of gearboxes and its applications on wind turbines
… The application of hybrid conventional and evolutionary optimization techniques to enhance the performance of the existing filtering and fault detection methods in this domain is demonstrated. Efforts have been made to decrease the processing time in the fault detection process and to make …
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Actively shielded air-core superconducting machines: optimization and design considerations
… of the device is rigorously explored using evolutionary optimization techniques. Armature flux densities of up to 5 Tesla are shown to be achievable. Next, mechanical and cryogenic design aspects are discussed, along with preliminary analyses of key components. Hardware validation efforts to …
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Extended evolutionary structural optimization method for multi-storey buildings
This study extends the Evolutionary Structural Optimization (ESO) method for application to multi-storey buildings. The objective is to find the optimal topologies of multi-storey buildings subject to overall stiffness or displacement constraints. It emphasizes the derivation of a methodology to …
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Comparison of the Role of Beamwidth in Biological and Engineered Sonar
… been a central factor behind the unprecedented evolutionary success of bats, a highly diverse group that accounts for over 20% of all mammal species. However, it remains unclear to what extent engineered and biosonar follow similar design and operational principles. In the current work, the key …
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Understanding small RNA-mediated post-transcriptional regulation of Salmonella pathogenicity island 1 activator HilA in Salmonella typhimurium
… regulation. This pattern likely reflects evolutionary optimization for regulatory efficiency. The limited direct hilA regulators may result from evolutionary pressure against inappropriate activation of this essential virulence factor. These results advance our understanding of …
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Dynamics of naval ship design : a systems approach
… coupled with customer oriented design (QFD, AHP, evolutionary optimization, etc) provide both improvements and direct means to measure effectiveness of improvements. As for cost, implementation of world class building and design techniques (concurrent engineering, group technology, CAD/CAM/CAE, …
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Accelerating Structural Design and Optimization using Machine Learning
… to greatly accelerate structural design and optimization. In this thesis, deep learning and active learning techniques are applied to different non-convex structural optimization problems. Finite Element Analysis (FEA) based standard optimization methods for aircraft panels with bio-inspired …
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User aid-based evolutionary computation for optimal parameter setting of image enhancement and segmentation
… results. Obviously, we are faced with an optimization problem, which its complexity depends on the number of the parameters to be optimized and correlation among them. By reviewing the optimization methods, it can be understood that metaheuristic algorithms are the best candidates for …
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