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.
Results
Showing 1 to 20 of 60 for “"Optimization formulation"”.
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A novel optimization formulation for the direct computation of the voltage collapse point
… power system is formulated as a constrained optimization problem which is solved using a robust scheme known as the Dog-leg Trust Region. This technique is mainly characterized by its reliability and fast convergence as it makes advantage of the merits of classical optimization techniques and …
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Algorithmic and implementation aspects of on-line calibration of Dynamic Traffic Assignment
… Assignment (DTA). The thesis presents two formulations to on-line calibration: 1) The classical statespace formulation and 2) The direct optimization formulation. Extended Kalman Filter (EKF) is presented and validated under the state-space formulation. Pattern Search (PS), Conjugate …
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Evaluation of Dynamic Channel and Power Assignment Techniques for Cognitive Dynamic Spectrum Access Networks
… first contribution of this thesis is a unifying optimization formulation to describe the DCPA problem. This optimization problem is based on maximizing the number of feasible links and minimizing transmit power of a set of communications links in a given communications network. Using this …
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Robust optimization techniques and design of Li-ion batteries
This thesis applies robust optimization techniques to the design of Lithium-ion batteries with spatially varying porosities. The microstructure of a porous electrode was designed to minimize the Ohmic resistance. The spatial variation in the porosities was found to provide enhanced robustness of …
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Application of layout and topology optimization using pattern gradation for the conceptual design of buildings
… and repetition, in the context of layout optimization. By placing constraints on the design domain in terms of number and size of repeating patterns along any direction, the conceptual design for buildings is facilitated. To substantiate the potential future applications of this work, …
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Optimization-based selection of influential agents in a rural Afghan social network
… targeting model, a nonlinear programming (NLP) optimization formulation that identifies the k US agent assignment strategy producing the greatest arithmetic mean of the expected long-term attitude of the population. We demonstrate in experiments the merits of the optimization model in nonlethal …
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Multi-fidelity Design with Optimization Guided Incremental Decisions
… models and Multi-Disciplinary Analysis and Optimization (MDAO) as a framework to approach designs without precedents. The proposed strategy is demonstrated through a design example of an electric regional passenger aircraft, where both analysis fidelity and geometry representation are …
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FUSE: Multi-faceted set expansion by coherent clustering of skip-grams
… semantic facets of the entire seed set by an optimization formulation, and (3) entity expansion module: expands each semantic facet by utilizing an iterative algorithm robust to skip-gram noise. Extensive experiments demonstrate that our algorithm, FUSE, can accurately identify multiple …
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Visual saliency computation for image analysis
… model for proposal generation and a novel subset optimization formulation for bounding box filtering. In experiments, our subset optimization formulation consistently outperforms heuristic bounding box filtering baselines, such as Non-maximum Suppression, and our method substantially outperforms …
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Robust reconnaissance asset planning under uncertainty
… value. We propose a deterministic integer optimization formulation and two robust mixed-integer optimization extensions to address this problem. Robustness is applied to our model using both polyhedral and ellipsoidal uncertainty sets resulting in tractable mixed integer linear and second …
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Sensor distribution for collaborative localization using radio ranging
… specified accuracy. The problem is defined as an optimization formulation that minimizes the cost of additional sensors over the group while requiring accurate positioning knowledge for all agents. The first result of this thesis is a novel method for solving the posed optimization problem. This …
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Decomposition-based, complementarity models for renewable energy generation system design optimization
… system design. Decomposition-based design optimization techniques provide the theoretical and computational framework for implementing such design processes. Existing models in the decomposition-based design optimization literature lie largely within the realm of nonlinear programs (NLP). …
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Automating Intensity Modulated Radiation Therapy Treatment Planning by using Hierarchical Optimization
… exposure to normal structures. The IMRT optimization is a complex optimization problem because of the multiple conflicting objectives in it. Due to the complexity of the optimization, the IMRT treatment planning is still a trial and error process. Hierarchical optimization was proposed to …
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A structured reduced sequential quadratic programming and its application to a shape design problem
… duct design problem using a particular optimization method. The design problem is formulated as an equality constrained optimization, called All at once method, so that the analysis problem is not solved until the optimal design is reached. Furthermore, the block structure in the …
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Design for Additive Manufacturing Considering Optimization of Part Topology and Build Orientation
… and reducing manufacturing cost. Design optimization tools such as topology optimization, provide a mathematical approach to generate efficient and lightweight designs; however, integration of design tools into industry has been hindered most notably by manufacturability. Innovative …
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Optimal Upfc Control And Operations For Power Systems
… The new structure is based on a two-level optimization formulation of the market. It is shown that the proposed market structure can easily find the optimal solutions for the market while takeing factors such as demand elasticity into account. In the last part, a mathematical programming …
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Modeling, control, and design of hybrid electrical and thermal energy storage systems
… used to facilitate modeling, control, and design optimization of the energy storage system. Graph-based models capture multi-domain dynamics in a unified framework. A heuristic control strategy is used, which seeks to protect the energy storage elements while maintaining references. Sizing and …
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Optimal Scheduling Method for Multi-Energy System
… scheduling methods based on machine learning and optimization techniques of a real multi-energy system, Stone Edge Farm, CA, are proposed from an economic point of view. Specifically, Random Forest forecasting model is applied and further improved with online adaptability feature to provide input …
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Recommender Systems for the Conference Paper Assignment Problem
… traditionally been studied separately from the optimization of assignments. In this thesis, we present an integrated study of both aspects. First, due to the sparsity of data (relative to other recommender systems applications), we integrate multiple sources of information to learn …
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Alternative design optimization formulations – developing and comparing for a vibration damping example
Developing mathematical formulations for design problems requires determining an objective function to compare design alternatives, a set of design features and options to be included for consideration, and a predictive model that reflect any unavoidable cause and effect relationships that are …
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