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Economic emission dispatch of thermal generating units using genetic algorithm technique

Economic emission dispatch of thermal generating units using genetic algorithm technique Well-established conventional algorithms are available for solving the economic emission dispatch (EED) problem. But the recent trend is to use the tools such as genetic algorithms (GAs) evolutionary programming technique, etc., because of some of their superior qualities. In this paper, GA technique has been applied for solving EED problem. This GA technique represents a class of general purpose stochastic search techniques which simulate natural inheritance by genetics illustrated by considering a five-bus system. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Enterprise Network Management Inderscience Publishers

Economic emission dispatch of thermal generating units using genetic algorithm technique

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1748-1252
eISSN
1748-1260
DOI
10.1504/IJENM.2011.043797
Publisher site
See Article on Publisher Site

Abstract

Well-established conventional algorithms are available for solving the economic emission dispatch (EED) problem. But the recent trend is to use the tools such as genetic algorithms (GAs) evolutionary programming technique, etc., because of some of their superior qualities. In this paper, GA technique has been applied for solving EED problem. This GA technique represents a class of general purpose stochastic search techniques which simulate natural inheritance by genetics illustrated by considering a five-bus system.

Journal

International Journal of Enterprise Network ManagementInderscience Publishers

Published: Jan 1, 2011

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