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 978 for “"optimization problem"”.
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A Disassembly Optimization Problem
… to product disposal. One way to deal with this problem is to disassemble an obsolete product and utilize some of its components/subassemblies in the manufacturing of new products. This seems to be a promising solution because products now-a-days are made in accordance with the highest quality …
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QAOA applied to the portfolio optimization problem
… there is one called QAOA (quantum approximate optimization algorithm). As the name suggests, this is a quantum algorithm that approximates the solution of optimization problems. The objective of this work was to apply this algorithm to solve an optimization problem in the finance area known as …
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Walsh analysis, epistasis, and optimization problem difficulty for evolutionary algorithms
… bit strings of length L. Epistasis is related to problem difficulty for evolutionary algorithms. Walsh analysis can be used to quantify epistasis. In this dissertation Walsh analysis is developed in detail starting with the definitions for the Walsh transform. The epistasis of a polynomial is …
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A nonconservative solution to the general mixed H2/H-[infinity] optimization problem
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1992.
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Evolving Heterogeneous And Subcultured Social Networks For Optimization Problem Solving In Cultural Algorithms
… fabric over which information used in agent problem solving is passed. The knowledge sources in the Belief Space compete with each other in order to influence the decision making of agents in the Population Space. Likewise, the problem solving experiences of agents in the Population Space are …
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Algorithms for a constrained optimization problem with applications in statistics and optimum design
Abstract available: p.3-5
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Structural analysis of combinatorial optimization problem characteristics and their resolution using hybrid approaches
Many combinatorial problems coming from the real world may not have a clear and well defined structure, typically being dirtied by side constraints, or being composed of two or more sub-problems, usually not disjoint. Such problems are not suitable to be solved with pure approaches based on a …
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A modified flower pollination algorithm and carnivorous plant algorithm for solving engineering optimization problem
Optimization in an essential element in mechanical engineering and has never been an easy task. Hence, using an effective optimiser to solve these problems with high complexity is important. In this study, two metaheuristic algorithms, namely, modified flower pollination algorithm (MFPA) and …
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Multi-objective evolutionary computation for the portfolio optimization problem with respect to environmental, social, and governance criteria
A common problem that faces many is the tension between doing what aligns with our values and doing what is fiscally best. A system leveraging Multi-Objective Evolutionary Computation, specifically MOEA/D, was proposed to produce highly performant portfolios tailored to an individual’s ESG …
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Estimation of kinematic rupture parameters from historical seismograms: an application of simulated annealing to a nonlinear optimization problem
Includes bibliographical references (pages 88-94).
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Simulation- and Experiment-Based Setpoint Control for Heating, Ventilation, and Air-Conditioning Systems: A Single- and Multi-Objective Optimization Problem
… thermal comfort and indoor air quality. The problem is formulated as a constrained convex optimization statement. Specifically, the thesis proposes three optimization-based control frameworks that are verified in simulation testbeds (with state-of-art simulation software and numerical models …
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Robust portfolio optimization
The Markowitz mean-variance portfolio optimization is a well known and also widely used investment theory in allocating the assets. However, this theory is also familiar with the extremely sensitive outcome by the small changes in the data. Ben-Tal and Nemirovski [3] therefore introduced the robust …
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Robust Nonlinear Control Using Bilinear Matrix Inequalities With Application to a Batch Crystallization Process
The controller design problem necessitates the solution of an optimization problem under bilinear matrix inequality constraints, which is a nonconvex optimization problem, has been shown to be NP-hard, and its efficient solution is also an open research problem. Various solution strategies have …
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Optimization algorithms for multidimensional scaling with city-block distances and their parallelization /
In this dissertation, a problem related to a visualization of elements of a multidimensional data set is considered. Here, for the sake of simplicity, an element of a multidimensional data set is called a multidimensional element. There are many techniques for visualizing multidimensional elements. …
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Optimizavimo algoritmai daugiamatėms skalėms su miesto kvartalo atstumais ir jų lygiagretinimas /
In this dissertation, a problem related to a visualization of elements of a multidimensional data set is considered. Here, for the sake of simplicity, an element of a multidimensional data set is called a multidimensional element. There are many techniques for visualizing multidimensional elements. …
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Distributed Method to Optimal Profile Descent
… of the vertical profile and defines an OPD optimization problem that uses both path stretching and speed profile change while largely maintaining the original OPD procedure. This problem minimizes the cumulative cost of performing OPD procedures for a group of aircraft by assigning a time …
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Two Combinatorial Optimization Problems at the Interface of Computer Science and Operations Research
To address the post-optimality selection problem, this dissertation also proposes a new discrete optimization problem to help the decision-maker to obtain an optimal preferred subset of Pareto optimal solutions. This discrete optimization problem is proven to be NP-hard. To solve this problem, …
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Shape optimization theory and applications in hydrodynamics
… control theory are applied to a continuous shape optimization problem for reducing the wave resistance of a submerged body translating at a steady forward velocity well below a free surface. In the latter approach, when the constraint formed by the boundary conditions and the Laplace's governing …
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Analysis and Optimization of Cooperative Wireless Networks
… and time. However, in previous research, each optimization problem has been investigated separately, and the optimal solution for one problem is usually not optimal for the other problems.</p> <p>This dissertation focuses on joint optimization or cross-layer optimization in wireless cooperative …
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