Economic Load Dispatch Problem Using Refined Genetic Algorithm - Couverture souple

Chaine, Sabita

9786139847372: Economic Load Dispatch Problem Using Refined Genetic Algorithm

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ISBN 10 : 6139847370 ISBN 13 : 9786139847372

Editeur : LAP LAMBERT Academic Publishing, 2018

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2018
Langue: anglais
ISBN 10: 6139847370
ISBN 13: 9786139847372
Reliure: Broch�
Nombre de pages: 88
Coordonn�es du fabricant: non disponible
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Economic Load Dispatch Problem Using Refined Genetic Algorithm

Sabita Chaine

Edit� par LAP LAMBERT Academic Publishing Mai 2018, 2018

ISBN 10 : 6139847370 ISBN 13 : 9786139847372

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Solving economic dispatch problems normally involved optimization process. So, new techniques are continuously being developed that result in a more efficient system operation. As a good global optimal tool, evolutionary algorithm (EA) is widely used in the recent past in many engineering fields. EAs differ from traditional optimization techniques in that they involve a search from a 'population' of solutions, not from a single point. In this work, genetic algorithm (GA) is also used for optimization of economic load dispatch and the results are compared comprehensively with Classical Lagrangian Method (LMM). 88 pp. Englisch. N� de r�f. du vendeur 9786139847372

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Economic Load Dispatch Problem Using Refined Genetic Algorithm

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ISBN 10 : 6139847370 ISBN 13 : 9786139847372

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Economic Load Dispatch Problem Using Refined Genetic Algorithm

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Economic Load Dispatch Problem Using Refined Genetic Algorithm

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Economic Load Dispatch Problem Using Refined Genetic Algorithm

Sabita Chaine

Edit� par LAP LAMBERT Academic Publishing, 2018

ISBN 10 : 6139847370 ISBN 13 : 9786139847372

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chaine SabitaDr. (Mrs.) Sabita Chaine received the B.E. in 2005 and M.Tech in 2011. She completed her Ph.D. degree (Electrical Engineering) in 2017. Currently she is working as Faculty in Electrical Engineering in College of Engineer. N� de r�f. du vendeur 385874126

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Economic Load Dispatch Problem Using Refined Genetic Algorithm

Sabita Chaine

Edit� par LAP LAMBERT Academic Publishing Mai 2018, 2018

ISBN 10 : 6139847370 ISBN 13 : 9786139847372

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Solving economic dispatch problems normally involved optimization process. So, new techniques are continuously being developed that result in a more efficient system operation. As a good global optimal tool, evolutionary algorithm (EA) is widely used in the recent past in many engineering fields. EAs differ from traditional optimization techniques in that they involve a search from a 'population' of solutions, not from a single point. In this work, genetic algorithm (GA) is also used for optimization of economic load dispatch and the results are compared comprehensively with Classical Lagrangian Method (LMM).VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 88 pp. Englisch. N� de r�f. du vendeur 9786139847372

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Economic Load Dispatch Problem Using Refined Genetic Algorithm

Sabita Chaine

Edit� par LAP LAMBERT Academic Publishing

ISBN 10 : 6139847370 ISBN 13 : 9786139847372

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Solving economic dispatch problems normally involved optimization process. So, new techniques are continuously being developed that result in a more efficient system operation. As a good global optimal tool, evolutionary algorithm (EA) is widely used in the recent past in many engineering fields. EAs differ from traditional optimization techniques in that they involve a search from a 'population' of solutions, not from a single point. In this work, genetic algorithm (GA) is also used for optimization of economic load dispatch and the results are compared comprehensively with Classical Lagrangian Method (LMM). N� de r�f. du vendeur 9786139847372

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