Isbn: 9786139847372 - economic load dispatch problem using refined genetic algorithm (8 risultati)

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    • Lingua: Inglese

      Editore: LAP Lambert Academic Publishing

      6139847370 / 9786139847372

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2018

      6139847370 / 9786139847372

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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.

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Mai 2018, 2018

      6139847370 / 9786139847372

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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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.

    • Lingua: Inglese

      Editore: LAP Lambert Academic Publishing

      6139847370 / 9786139847372

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing, 2018

      6139847370 / 9786139847372

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      Da: moluna, Greven, Germaniamoluna

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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.

    • Lingua: Inglese

      Editore: LAP Lambert Academic Publishing

      6139847370 / 9786139847372

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing

      6139847370 / 9786139847372

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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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).

    • Lingua: Inglese

      Editore: LAP LAMBERT Academic Publishing Mai 2018, 2018

      6139847370 / 9786139847372

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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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.