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 399 for “"Optimization algorithm"”.
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Database optimization algorithm for empirical potentials
… This study provides an automated, quantitative algorithm to find the optimal empirical potential model for a pre-determined testing set of desired structure properties. We employ Bayesian sampling technique to estimate the errors for the structural property functions in the testing set. We …
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A GIS-Based Optical Viewshed Optimization Algorithm
… observer properties (location and height), the algorithm computes whether or not each target cell is within the observer's line-of-sight. Just as significant and robust (although yet not commercially available) would be a tool that could search local neighborhoods of the observer to determine if …
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Bayesian Optimization Algorithm: From Single Level to Hierarchy
The dissertation proposes the Bayesian optimization algorithm (BOA), which uses Bayesian networks to model the promising solutions found so far and sample new candidate solutions. BOA is theoretically and empirically shown to be capable of both learning a proper decomposition of the problem and …
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A Multi-Objective Ant Colony Optimization Algorithm for Infrastructure Routing
An algorithm is presented that is capable of producing Pareto-optimal solutions for multi-objective infrastructure routing problems: the Multi-Objective Ant Colony Optimization (MOACO). This algorithm offers a constructive search technique to develop solutions to different types of infrastructure …
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A hierarchical approach to improve the ant colony optimization algorithm
<p>The ant colony optimization algorithm (ACO) is a fast heuristic-based method for finding favorable solutions to the traveling salesman problem (TSP). When the data set reaches larger values however, the ACO runtime increases dramatically. As a result, clustering nodes into groups is an effective …
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Shape and topology synthesis of structures using a sequential optimization algorithm
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1993.
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Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network
… for conference peer review based on ant colony optimization (ACO) algorithms. In our model, each reviewer has a set of ants that goes out and finds articles. The reviewer assesses the paper that the ant brings according to the criteria specified by the conference organizers and the ant deposits …
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Application of the Analytic Hierarchy Process Optimization Algorithm in Best Management Practice Selection
… complex. One mathematical approach for optimization in the face of multiple influential criteria is the Analytic Hierarchy Process. "The analytic hierarchy process (AHP) provides the objective mathematics to process the inescapably subjective and personal preferences of an individual or …
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A quantum optimization algorithm for optimal electric vehicle charging station placement for intercity trips
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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ENAMS: Energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.
… a number of characteristics that challenge the algorithmic design of WSNs. Firstly, mobility has a negative effect on the quality of the wireless communication and the performance of networking protocols. Nevertheless, it has been shown that mobility can enhance the functionality of the network …
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Development and implementation of an inventory location optimization algorithm for improved distribution center picking rates
A strategic roadmap was developed for Waters Corporation detailing four central themes and twelve project proposals to direct future projects and innovations at the company over the next 3-10 years. Specific attention was paid to the growing need at Waters to shift processes from manual to …
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Operational analysis of an inventory location optimization algorithm and RFID implementation in a distribution center
… various avenues for digitalization, automation, optimization and standardization throughout its value chain. It then focuses on operational analysis of two pilot process improvement projects at their Global Distribution Center (GDC). Sub-optimal inventory placement caused by randomized assignment …
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An integrated design, control, and trajectory optimization algorithm for future planetary (Martian) entry/lander vehicles
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1993.
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Design and Evaluation of a Data-distributed Massively Parallel Implementation of a Global Optimization Algorithm---DIRECT
… parallel DIRECT, the deterministic global optimization algorithm widely used in multidisciplinary engineering design, biological science, and physical science applications. The original algorithm is modified to adapt to different problem scales and optimization (exploration vs.\ …
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Nonconvex optimization algorithm with a new Bi-criteria selection of potential simplices using an estimate of Lipschitz constant /
In this thesis, Direct (DIviding RECTangles) type algorithms based on Lipschitz objective function models with unknown Lipschitz constant, which are often applied for practical black-box optimization problems, are considered. The main goal of this thesis is set - to propose a global optimization …
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Thermal and EMI Modeling and Analysis of a Boost PFC Circuit Designed Using a Genetic-based Optimization Algorithm
… optimal results for any application. The algorithm used incorporates the principles of evolution in order to find the best design. This new design technique requires a rethinking of the traditional design process. Electrical models have been developed specifically for use with the …
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Improved convergence for optimization of evasive maneuvering
Consider the problem of developing an algorithm that computes optimal preprogrammed evasive maneuvers for a Maneuvering Reentry Vehicle (MaRV) attacking a target defended with Anti-Ballistic Missiles (ABMs). The problem is large in terms of the number of optimization parameters, and perhaps in …
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KNN Optimization for Multi-Dimensional Data
<p>The K-Nearest Neighbors (KNN) algorithm is a simple but powerful technique used in the field of data analytics. It uses a distance metric to identify existing samples in a dataset which are similar to a new sample. The new sample can then be classified via a class majority voting of its most …
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