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 12264 for “"optimization"”.
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Robust optimization
We propose new methodologies in robust optimization that promise greater tractability, both theoretically and practically than the classical robust framework. We cover a broad range of mathematical optimization problems, including linear optimization (LP), quadratic constrained quadratic …
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Analog circuit optimization using evolutionary algorithms and convex optimization
… is a hybrid of a genetic algorithm and a convex optimization technique. We study the performance of the algorithm on artificially created benchmark problems. We show that the accuracy of posynomial models of MOS parameters is improved by a considerable amount by using the new algorithm. The new …
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Spacecraft Trajectory Optimization Suite (STOpS): Optimization of Multiple Gravity Assist Spacecraft Trajectories Using Modern Optimization Techniques
<p>In trajectory optimization, a common objective is to minimize propellant mass via multiple gravity assist maneuvers (MGAs). Some computer programs have been developed to analyze MGA trajectories. One of these programs, Parallel Global Multiobjective Optimization (PaGMO), uses an interesting …
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Spacecraft Trajectory Optimization Suite (STOPS): Optimization of Low-Thrust Interplanetary Spacecraft Trajectories Using Modern Optimization Techniques
… here is a continuation of Spacecraft Trajectory Optimization Suite (STOpS), a master’s thesis written by Timothy Fitzgerald at California Polytechnic State University, San Luis Obispo. Low-thrust spacecraft engines are becoming much more common due to their high efficiency, especially for …
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Constructing Accurate Synopses for Database Query Optimization and Re-optimization
… synopses to tune up the databases in manners of optimization and re-optimization. From Chapter 1 to Chapter 3, we focus on the synopses for query optimization. We propose a statistical summary for a database, called CS2 (Correlated Sample Synopsis), to provide rapid and accurate result size …
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Mother Tree Optimization for Solving Continuous and Discrete Optimization Problems
Continuous and discrete optimization problems play a signi cant role in di erent academic and industrial disciplines. The main objective of a constraint optimization process is to nd a solution for a problem, that satis es a set of constraints while optimizing a given objective function. The exact …
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Structural Optimization of Bell Crank using Adaptive Response Surface Optimization
… contributes to the development of a structural optimization software system designed to support design optimization. The focus of this thesis work is on formulating strategies to obtain accurate solutions and enhance the efficiency of the optimization process, particularly when dealing with …
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Managing interprocedural optimization
… of important issues related to interprocedural optimization. Interprocedural optimization is an integral component in a compilation system for high-performance computing. The importance of interprocedural optimization stems from two sources: it increases the context available to the optimizing …
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Bayesian bilevel optimization
… this dissertation, we focus on improving bilevel optimization through several approaches developed during research. Bilevel optimization problems consist of upper-level and lower-level optimization problems connected hierarchically. Upper-level and lower-level problems are also referred to as the …
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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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Discrete Structural Optimization
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1978.
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Minmax topology optimization
… to unknown loading using minmax and topology optimization methods. Assuming only the loading region and norm, we distribute a given amount of material in the design domain to minimize the principal compliance, i.e. the maximum compliance that is produced by the worst-case loading scenario. We …
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Communicating optimization results
… complex, leading companies are embracing optimization software tools to help them structure and coordinate their supply chains. With an array of choices available, many organizations opt for one of the numerous off-the-shelf products. Others choose instead to create their own bespoke …
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Helicopter configuration optimization
Thesis (S.M.)--Massachusetts Institute of Technology, System Design & Management Program, February 2001.
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Nonconvex robust optimization
We propose a novel robust optimization technique, which is applicable to nonconvex and simulation-based problems. Robust optimization finds decisions with the best worst-case performance under uncertainty. If constraints are present, decisions should also be feasible under perturbations. In the …
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Online optimization problems
In this thesis, we study online optimization problems in routing and allocation applications. Online problems are problems where information is revealed incrementally, and decisions must be made before all information is available. We design and analyze algorithms for a variety of online problems, …
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Racing line optimization
… based on the MINOS solver on AMPL and the MATLAB Optimization Toolbox and it only needs the input of the objective function and constraints. A heavy emphasis is placed on the artificial intelligence method. It works well for any 2-D or 3-D track shapes. It uses intelligent algorithms including …
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Global dynamic optimization
… is a highly nontrivial task. Based on standard optimization results, outer approximation, the affine solution to linear dynamic systems, and differential inequalities, I present a novel method for constructing convex underestimators and concave overestimators for arbitrary nonlinear dynamic …
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GOssiping Optimization Framework (GOOF): A decentralized P2P architecture for function optimization
… thesis discusses the implementation of function optimization algorithms through distributed and decentralized processing in a peer-to-peer fashion. Our research is focused on a fully decentralized, general purpose P2P environment, with no special or ad-hoc facility for executing optimization …
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