Global ETD Search

71	Reconfiguration Of Shipboard Power Systems Using A Genetic Algorithm Padamati, 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. Restoration Genetic Algorithm Shipboard Power Systems Reconfiguration
72	A genetic algorithm approach to scheduling resources for a space power system Wright, Ted January 1994 (has links) No description available. genetic algorithm scheduling resources space power system
73	Genetic Algorithm Application to Queuing Network and Gene-Clustering Problems Hourani, Mouin 25 February 2004 (has links) No description available. Genetic Algorithm Queuing Network Gene-Clustering Clustering
74	HARDWARE IMPLEMENTATION OF GENETIC ALGORITHM MODULES FOR INTELLIGENT SYSTEMS NARAYANAN, SHRUTHI 28 September 2005 (has links) No description available. Genetic Algorithm Verilog HDL VHDL Hardware implementation
75	Automated Design, Analysis, and Optimization of Turbomachinery Disks Gutzwiller, David January 2009 (has links) No description available. Aerospace Materials Turbomachinery Disk Optimization Genetic Algorithm
76	A Method for Generating Robot Control Systems Bishop, Russell C. 30 September 2008 (has links) No description available. Robots genetic algorithm neural network walking robot
77	Genetic algorithm using restricted sequence alignments Liakhovitch, Evgueni January 2000 (has links) No description available. genetic algorithm restricted alignments sequence alignments
78	Development of automobile antenna design and optimization for FM/GPS/SDARS applications Kim, Yongjin 01 October 2003 (has links) No description available. Automobile antenna design Genetic Algorithm Conformal antenna
79	A Two-Phase Genetic Algorithm for Simultaneous Dimension, Topology, and Shape Optimization of Free-Form Steel Space-Frame Roof Structures Kociecki, Margaret E. 16 August 2012 (has links) No description available. Civil Engineering structural engineering optimization genetic algorithm
80	A Hybrid-Genetic Algorithm for Training a Sugeno-Type Fuzzy Inference System with a Mutable Rule Base Coy, Christopher G. January 2010 (has links) No description available. Computer Science genetic algorithm fuzzy inference system

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