Sinossi
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).
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Economic Load Dispatch Problem Using Refined Genetic Algorithm
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LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139847370
ISBN 13: 9786139847372
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Taschenbuch. Condizione: 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. Codice articolo 9786139847372
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Economic Load Dispatch Problem Using Refined Genetic Algorithm
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Condizione: 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. Codice articolo 385874126
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Economic Load Dispatch Problem Using Refined Genetic Algorithm
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LAP LAMBERT Academic Publishing Mai 2018, 2018
ISBN 10: 6139847370
ISBN 13: 9786139847372
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Taschenbuch. Condizione: 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 Landstraße 99, 66123 Saarbrücken 88 pp. Englisch. Codice articolo 9786139847372
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Economic Load Dispatch Problem Using Refined Genetic Algorithm
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Taschenbuch. Condizione: 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). Codice articolo 9786139847372
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Economic Load Dispatch Problem Using Refined Genetic Algorithm
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LAP LAMBERT Academic Publishing, 2018
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Taschenbuch. Condizione: Neu. Economic Load Dispatch Problem Using Refined Genetic Algorithm | Sabita Chaine | Taschenbuch | 88 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139847372 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 114003182
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