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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Dr. 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 Electronics Engineering department of Rajasthan Technical University, Kota in 2018.
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786139941049
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786139941049
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Zustand: 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. Bestandsnummer des Verkäufers 385878335
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Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9786139941049
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Zustand: 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. Bestandsnummer des Verkäufers 33322587/2
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