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 “"global optimal solution"”.
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Analysis and Design of Stable and Optimal Energy Management Strategies for Hybrid Electric Vehicles
… (HEVs) are seen as an important short-term solution. In the most generic sense, a HEV consists of a battery and one or more electric machines in addition to the engine powered by petroleum/diesel. Depending on the vehicle architecture, the additional degree of freedom in selecting the amount …
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Greedy Inference Algorithms for Structured and Neural Models
… space, which makes searching for the global optimal solution extremely expensive. Thus, greedy algorithms, making trade-offs between precision and efficiency, are widely used. Unfortunately, they in general lack theoretical guarantees. In this thesis, we prove that greedy algorithms …
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Optimal sensor placement
In this thesis we explore the problem of finding optimal sensor/actuator locations to achieve the minimum square error/least effort. The solution for the optimal sensor/actuator is often combinational, this means in order to solve for the solution we have to look at many parameters in the system …
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Inventory, investment, and pricing policies for lot-size decision makers
… is used as the primary analysis technique and optimal policies are obtained through this technique;For the inventory and investment relationships, we construct and analyze inventory and investment in setup operations policies, inventory and investment in quality improvement policies, and …
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A Simulated Annealing Approach to Designing Optimal Decision Trees for Classification, Prescriptive, and Survival Analysis
… provided a powerful framework for constructing optimal decision trees by utilizing multiple random warm starts and local search to iteratively improve each warm start until a locally optimal decision tree is found. However, local search does not guarantee global optimality if the number of …
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Automated Tracking of Mouse Embryogenesis from Large-scale Fluorescence Microscopy Data
… flow-based methods, CINDA guarantees the global optimal solution with the best-of-known theoretical worst-case complexity and hundreds to thousands of times practical efficiency improvement. Since the information extracted from a single time point is limited, our framework iteratively …
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Water resources decision making using meta-heuristic optimization methods
… focus was to investigate meta-heuristic (global) optimization methods suitable for developing water resources decision support system (DSS), particularly to optimally design and operate groundwater storage and recovery projects. The effort included developing an integrated …
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Sparse Approximation In Banach Spaces
… The greedy algorithms are designed to make local optimal choices with the hope of obtaining a global optimal solution. This is made in regard with redundant systems which offer convenience of representation as well as better rates of approximation. The redundancy raises, in turn, very difficult …
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ON RICCATI EQUATIONS IN NONCONVEX OPTIMIZATION
… efficient algorithms that reliably converge to a global optimal solution across diverse modeling applications. However many problems in engineering and data-science fall outside of the convex paradigm. This leads to severe difficulties in guaranteeing optimality and in ensuring constraint …
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Advances in Nonconvex and Robust Optimization
… significant challenges, as identifying the global optimum is often difficult. This thesis introduces novel algorithms to find the exact solution of a broad class of nonconvex optimization problems. The thesis is structured into four parts. In Chapter 2, we propose a novel method for solving …
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Static and sequential location-allocation problems on networks and areas with probabilistic demands
… associated demands, simultaneously determine an optimal location of a number of supply facilities and their allocation of products or services to the customers, so as to minimize total location and transportation costs. This study is concerned with the development, convergence analysis, and …
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Optimal Parameters for Doubly Curved Sandwich Shells, Composite Laminates, and Atmospheric Plasma Spray Process
… computational cost and the inability to get the global optimal solution that can be found by using a honeybee-inspired optimization algorithm, called the New Nest-Site Selection (NeSS). We use the NeSS to find optimal parameters for three mechanics problems by following the three processes: …
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Global Optimization of Nonconvex Factorable Programs with Applications to Engineering Design Problems
… of this thesis is to develop and implement a global optimization algorithm to solve a class of nonconvex programming problems, and to test it using a collection of engineering design problem applications.The class of problems we consider involves the optimization of a general nonconvex …
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Optimal Sum-Rate of Multi-Band MIMO Interference Channel
… as Gaussian noise, which is considered optimal in low-interference scenarios. While the sum-rate of the single-band SISO IC is relatively well understood, it is not so when the users have multiple-bands and multiple-antennas for transmission. Therefore, the study of the optimal sum-rate …
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An optimal replacement-design model for a reliable water distribution network system
… decision to be a critical task. We develop an optimal network design and replacement strategy that meets hydraulic requirements under all likely demand and failure scenarios. Two submodels are used in a hierarchical fashion to integrate the reliability and cost analysis, and the network …
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MIMO Wireless Networks: Modeling and Optimization
… design and optimization techniques that provide optimal or near-optimal solutions. Based on network structure, this dissertation is organized into two parts. In the first part, we focus on single-hop MIMO wireless networks, while in the second part, we focus on multi-hop MIMO networks. The main …
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Optimal Finite Control Set Model Predictive Control Strategies for Induction Motor Drives
… frequency. The control algorithm determines the optimal voltage vector that minimizes the pre-defined cost function. Each variable included in the cost function has a weighting factor according to different magnitudes and units. Weighting factor tuning is a non-trivial and complicated task, …
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Optimization Models and Analysis of Routing, Location, Distribution, and Design Problems on Networks
… are user-prescribed and could be prompted by the solution of shortest path problems that minimize the respective corresponding linear risk functions. The proposed model is a discrete, fractional programming problem that is solved using a specialized branch-and-bound approach. The model is also …
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Resource Allocation on Networks: Nested Event Tree Optimization, Network Interdiction, and Game Theoretic Methods
… to combat terrorism, our model and accompanying solution procedure represent an innovative, comprehensive, and quantitative approach to coordinate resource allocations from various agencies across the breadth of domains that deal with preventing attacks and mitigating their consequences. Adopting …
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Discrete Two-Stage Stochastic Mixed-Integer Programs with Applications to Airline Fleet Assignment and Workforce Planning Problems
… convex hull representation of the two-stage solution space, using the relaxed second-stage constraints and the restrictions confining the first-stage variables to lie within some hyperrectangle. This partial convex hull is sequentially generated using a convexification scheme, such as the …