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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 71 to 80 of 1403 (0.052 seconds)Spelling suggestions: "subject:" enetic algorithm"" "subject:" benetic algorithm""
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Reconfiguration Of Shipboard Power Systems Using A Genetic AlgorithmPadamati, Koteshwar Reddy 15 December 2007 (has links)
The shipboard power system supplies energy to sophisticated systems for weapons, communications, navigation, and operation. After a fault is encountered, reconfiguration of a shipboard power system becomes a critical activity that is required to either restore service to a lost load or to meet some operational requirements of the ship. Reconfiguration refers to changing the topology of the power system in order to isolate system damage and/or optimize certain characteristics of the system related to power efficiency. When finding the optimal state, it is important to have a method that finds the desired state within a short amount of time, in order to allow fast response for the system. Since the reconfiguration problem is highly nonlinear over a domain of discrete variables, the genetic algorithm method is a suitable candidate. In this thesis, a reconfiguration methodology, using a genetic algorithm, is presented that will reconfigure a network, satisfying the operational requirements and priorities of loads. Graph theory is utilized to represent the shipboard power system topology in matrices. The reconfiguration process and the genetic algorithm are implemented in MATLAB and tested on an 8-bus power system model and on larger power system with distributed generators by considering different fault scenarios. Each test system was reconfigured in three different ways: by considering load priority, without considering load priority, and by combining priority factor and magnitude factor. The test results accuracy was verified through hand checking.
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| 72 |
A genetic algorithm approach to scheduling resources for a space power systemWright, Ted January 1994 (has links)
No description available.
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| 73 |
Genetic Algorithm Application to Queuing Network and Gene-Clustering ProblemsHourani, Mouin 25 February 2004 (has links)
No description available.
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| 74 |
HARDWARE IMPLEMENTATION OF GENETIC ALGORITHM MODULES FOR INTELLIGENT SYSTEMSNARAYANAN, SHRUTHI 28 September 2005 (has links)
No description available.
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| 75 |
Automated Design, Analysis, and Optimization of Turbomachinery DisksGutzwiller, David January 2009 (has links)
No description available.
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| 76 |
A Method for Generating Robot Control SystemsBishop, Russell C. 30 September 2008 (has links)
No description available.
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| 77 |
Genetic algorithm using restricted sequence alignmentsLiakhovitch, Evgueni January 2000 (has links)
No description available.
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| 78 |
Development of automobile antenna design and optimization for FM/GPS/SDARS applicationsKim, Yongjin 01 October 2003 (has links)
No description available.
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| 79 |
A Two-Phase Genetic Algorithm for Simultaneous Dimension, Topology, and Shape Optimization of Free-Form Steel Space-Frame Roof StructuresKociecki, Margaret E. 16 August 2012 (has links)
No description available.
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| 80 |
A Hybrid-Genetic Algorithm for Training a Sugeno-Type Fuzzy Inference System with a Mutable Rule BaseCoy, Christopher G. January 2010 (has links)
No description available.
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