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 43 for “"Grid Search"”.
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Iterated Grid Search Algorithm on Unimodal Criteria
… The convergence of the proposed iterated grid search algorithm is presented along with the results of particular application studies. It has been recognized that the derivative methods, such as the Newton-type method, are not entirely satisfactory, so a variety of other tools are being …
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Mass ratios in stellar triple systems that admit horseshoe orbits
… 1:10-4:10-8 known to produce horseshoe orbits, a grid search was performed on position and velocity of the small body to determine admissible initial conditions. Then, a strongly suitable initial condition was chosen to run another grid search on masses of the middle and small bodies. Choosing a …
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Induced seismicity analysis for reservoir characterization at a petroleum field in Oman
… methods (the iterative linearized, nonlinear grid-search, and double-difference methods) to relocate 405 microearthquakes that occurred between October 1999 and June 2001 in a producing field in Oman. A numerical technique is applied to "collapse" the relocated hypocenters and to find the …
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Automated Unit Test Generation for the Python Programming Language
… we target two previously identified open research problems: (1) The used evolutionary algorithms provide many hyperparameters that allow the user to configure them. It is, however, not clear what the optimal values for these parameters are, thus, tools provide default values that are not …
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Movement Optimization of Robotic Arms for Energy and Time Reduction using Evolutionary Algorithms
… 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 conscious industrial robotics paradigm. We utilized multiple optimization …
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Earthquake location using a 3D velocity model : an example in Sichuan Province, China
… method for travel time calculation and a grid search method for location. We apply this technique to the location of three events in Sichuan Province, China, an area of complex deformation and scattered seismicity. The lateral differences between published event locations and those …
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Imaging the D" Structure using Waveform Modelling
… structures in the D'' region, we develop a grid-search scheme to constrain the detailed 1-D shear-wave velocity structure in the D'' region with quantitative assessment of the uncertainty of 1D models. This new method addresses problems of non-uniqueness and subjectivity in the conventional …
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Imaging the D" Structure using Waveform Modelling
… structures in the D'' region, we develop a grid-search scheme to constrain the detailed 1-D shear-wave velocity structure in the D'' region with quantitative assessment of the uncertainty of 1D models. This new method addresses problems of non-uniqueness and subjectivity in the conventional …
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Acoustically Controlled Remotely Operated Undersea Vehicles: A Quantitative Analysis
… been constructed to analyze a hypothetical ROV grid search mission across multiple parameters relating to the vehicle specifications, the mission layout, the acoustic communication system, and the operating environment. This simulation can then be used to generate a wide range of data regarding …
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New product forecasting of appliance and consumables : SARIMA model
… The SARIMA model is implemented with grid search in Python via a demand planning tool, which saves client's time. Weighted consumption rate will be utilized with number of appliance sold to forecast future pods sales. SARIMA model proved to be an effective approach for appliance …
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Accelerated Channel Operating Margin for Automated Context and Applications to Design Optimization
… been approached with an expert-guided grid search. We tackle this issue by introducing a practical method in Bayesian optimization accelerated by a lightweight transfer learning framework. We additionally present our methods in developing an unsupervised flow including derivation of …
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Sequential Motion Estimation and Refinement for Applications of Real-time Reconstruction from Stereo Vision
… in 2D and then backprojects them to 3D. Then, a grid search algorithm over potential camera poses is proposed to match the 3D features and find the largest group of 3D feature matches between pairs of stereo frames. This approach will provide pose accuracy to within the space that each grid …
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Crustal structure beneath hi-climb seismic array in western Tibetan plateau from a generalized H-κ method
… of the Earth. The traditional H-κ method using grid search and RF stacking developed by Zhu and Kanamori (2000) has been applied for calculating H and κ of the crust globally. Accurate crustal thickness (H) and average crustal Vp/Vs ratio (κ) are essential for understanding the tectonic setting …
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Heat pump simulation model and optimal variable-speed control for a wide range of cooling conditions
… they influence the compressor inlet density. A grid search optimization algorithm is used to find the heat pump optimal performance map. The map defines the optimal evaporator fan speed, condenser fan speed and compressor speed needed to achieve the lowest total power consumption for the given …
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A* Node Search and Nonlinear Optimization for Satellite Relative Motion Path Planning
… of handling complex constraints based on a grid search A* algorithm and compares solution results against a state-of-the-art nonlinear optimization method. Trajectories are investigated that include nonlinear constraints, such as complex keep-out-regions and thruster plume impingement, that …
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Optimizing AI Agents for Automated Software Engineering with Palimpzest
… time efficiency compared to the conventional grid search. By integrating our custom-built Debugger and Code Editor Agents as new operators within Palimpzest, we enhance the system’s ability to resolve real-world GitHub issues. And to facilitate hyperparameter selection, we also introduce File …
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Application of machine learning methods to predict phytoplankton blooms and determine microbial biomarkers using marine microbiomes
… used to predict coastal phytoplankton blooms and search for their biomarkers. After joining two oceanographic campaigns data, samples were classified as bloom or normal depending on the total chlorophyll concentrations. The resulting dataset was highly dimensional (166 instances, 7593 features) …
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Evolutionary algorithms for optimising reinforcement learning policy approximation
… possible permutations. There is very limited research giving clear guidance on neural network structure in a RL (reinforcement learning) context, and grid search-like approaches require too many resources and do not always find good optima. In order to address these, and other, challenges …
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Δημιουργία στατιστικού πακέτου στην R που θα πραγματοποιεί G-estimation με διπλή έκθεση
… καθώς και σε διδιάστατη αναζήτηση (2D grid search) που στη συνέχεια βελτιστοποιείται μέσω προσαρμοσμένης αναζήτησης. Ιδιαίτερη έμφαση δίνεται στη φιλοσοφία ανάπτυξης της μεθόδου, όπου αρχικά επιδιώκεται η πιστή αναπαραγωγή της λογικής του LREC ως άρθρου αναφοράς, και κατόπιν η ανάπτυξη …
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Computational methods for efficient nuclear data management in Monte Carlo neutron transport simulations
… optimizations of the commonly-used binary energy grid search algorithm are developed and demonstrated. Investigated techniques include placing kinematic constraints on the range of the searchable energy grid, index lookups on unionized material energy grids, and employing energy grid hash tables. …
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