Economic emission dispatch of thermal generating units using genetic algorithm technique
Economic emission dispatch of thermal generating units using genetic algorithm technique
Vennila, H. ; Malini, B.G. ; Jeba, V. Evangelin ; Prakash, T. Ruban Deva
2011-01-01 00:00:00
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.pngInternational Journal of Enterprise Network ManagementInderscience Publishershttp://www.deepdyve.com/lp/inderscience-publishers/economic-emission-dispatch-of-thermal-generating-units-using-genetic-RBYy9oWjVG
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.
Journal
International Journal of Enterprise Network Management
– Inderscience Publishers
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