This book deals with applications of GWO in control of Ball Hoop (BH) system and Automatic generation control (AGC) of two area interconnected non reheat thermal power system. Most of the swarm intelligent techniques used to solve the optimization problems do not have the leader to control over the entire period. This drawback is rectified in Grey Wolf Optimization (GWO), in which the grey wolves have natural leadership mechanism. Furthermore, GWO algorithm has fewer parameters and is easy to implement, making it superior to the other algorithms. Because of the versatile properties of GWO, attempts have been made to implement GWO in tuning the parameters of a PID controller.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with applications of GWO in control of Ball Hoop (BH) system and Automatic generation control (AGC) of two area interconnected non reheat thermal power system. Most of the swarm intelligent techniques used to solve the optimization problems do not have the leader to control over the entire period. This drawback is rectified in Grey Wolf Optimization (GWO), in which the grey wolves have natural leadership mechanism. Furthermore, GWO algorithm has fewer parameters and is easy to implement, making it superior to the other algorithms. Because of the versatile properties of GWO, attempts have been made to implement GWO in tuning the parameters of a PID controller. 92 pp. Englisch. Codice articolo 9786139941049
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with applications of GWO in control of Ball Hoop (BH) system and Automatic generation control (AGC) of two area interconnected non reheat thermal power system. Most of the swarm intelligent techniques used to solve the optimization problems do not have the leader to control over the entire period. This drawback is rectified in Grey Wolf Optimization (GWO), in which the grey wolves have natural leadership mechanism. Furthermore, GWO algorithm has fewer parameters and is easy to implement, making it superior to the other algorithms. Because of the versatile properties of GWO, attempts have been made to implement GWO in tuning the parameters of a PID controller. Codice articolo 9786139941049
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jain NeerajDr. Neeraj Jain is presently working as an Associate Professor in department of Electronics & Communication Engineering of Modern Institute of Technology & Research Centre, Alwar, India. He has completed his Ph.D. from El. Codice articolo 385878335
Quantità: Più di 20 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book deals with applications of GWO in control of Ball Hoop (BH) system and Automatic generation control (AGC) of two area interconnected non reheat thermal power system. Most of the swarm intelligent techniques used to solve the optimization problems do not have the leader to control over the entire period. This drawback is rectified in Grey Wolf Optimization (GWO), in which the grey wolves have natural leadership mechanism. Furthermore, GWO algorithm has fewer parameters and is easy to implement, making it superior to the other algorithms. Because of the versatile properties of GWO, attempts have been made to implement GWO in tuning the parameters of a PID controller.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 92 pp. Englisch. Codice articolo 9786139941049
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Da: Buchpark, Trebbin, Germania
Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book deals with applications of GWO in control of Ball Hoop (BH) system and Automatic generation control (AGC) of two area interconnected non reheat thermal power system. Most of the swarm intelligent techniques used to solve the optimization problems do not have the leader to control over the entire period. This drawback is rectified in Grey Wolf Optimization (GWO), in which the grey wolves have natural leadership mechanism. Furthermore, GWO algorithm has fewer parameters and is easy to implement, making it superior to the other algorithms. Because of the versatile properties of GWO, attempts have been made to implement GWO in tuning the parameters of a PID controller. Codice articolo 33322587/2
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