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Hybrid Particle Swarm Algorithm for Multiobjective Optimization: Integrating Particle Swarm Optimization with Genetic Algorithms for Multiobjective Optimization - Brossura
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In this book we attempt to apply artificial intelligence techniques in solving engineering problems for the sustainable advantages of these methods. We had provide a hybrid algorithm that combines both of the Genetic Algorithm and Particle Swarm Optimization to solve the problems of optimization with a nonlinear single objective. In addition, the hybrid approach which has been introduced to solve the problems of a single objective, was developed to the possibility of applying it to solve the problems of multiple objectives in order to obtain nondominated solution. Also, to improve these solution a Local Search Technique has been introduced and added to the Hybrid Algorithm to possibly obtain more nondominated solutions nearby. We confirmed the accuracy of the solution both at the level of optimization problems with a single objective or multiple objectives and thus the possibility of applying it to solve some engineering problems. So the proposed approach has been applied to solve a problem of the most important in the operation of electric power system (multiobjective Reactive power compensation).
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L'autore
Eng. Mohamed Abd El-Rahman El-Shorbagy received the B.Sc. degree in Electrical Engineering and an M.Sc. in Engineering Mathematics from Faculty of Engineering, Menoufiya University, Egypt, in 2004 and 2010, respectively.he is currently working towards the Ph.D. degree in the Department of Basic Engineering Sciences at the same college.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
- EditoreLAP LAMBERT Academic Publishing
- Data di pubblicazione2011
- ISBN 10 3847311492
- ISBN 13 9783847311492
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine156
- Contatto del produttorenon disponibile
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Hybrid Particle Swarm Algorithm for Multiobjective Optimization
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847311492
ISBN 13: 9783847311492
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shorbagy MohamedEng. Mohamed Abd El-Rahman El-Shorbagy received the B.Sc. degree in Electrical Engineering and an M.Sc. in Engineering Mathematics from Faculty of Engineering, Menoufiya University, Egypt, in 2004 and 2010, respective. Codice articolo 5509251
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Hybrid Particle Swarm Algorithm for Multiobjective Optimization
Editore:
LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847311492
ISBN 13: 9783847311492
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book we attempt to apply artificial intelligence techniques in solving engineering problems for the sustainable advantages of these methods. We had provide a hybrid algorithm that combines both of the Genetic Algorithm and Particle Swarm Optimization to solve the problems of optimization with a nonlinear single objective. In addition, the hybrid approach which has been introduced to solve the problems of a single objective, was developed to the possibility of applying it to solve the problems of multiple objectives in order to obtain nondominated solution. Also, to improve these solution a Local Search Technique has been introduced and added to the Hybrid Algorithm to possibly obtain more nondominated solutions nearby. We confirmed the accuracy of the solution both at the level of optimization problems with a single objective or multiple objectives and thus the possibility of applying it to solve some engineering problems. So the proposed approach has been applied to solve a problem of the most important in the operation of electric power system (multiobjective Reactive power compensation). 156 pp. Englisch. Codice articolo 9783847311492
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Hybrid Particle Swarm Algorithm for Multiobjective Optimization : Integrating Particle Swarm Optimization with Genetic Algorithms for Multiobjective Optimization
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847311492
ISBN 13: 9783847311492
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book we attempt to apply artificial intelligence techniques in solving engineering problems for the sustainable advantages of these methods. We had provide a hybrid algorithm that combines both of the Genetic Algorithm and Particle Swarm Optimization to solve the problems of optimization with a nonlinear single objective. In addition, the hybrid approach which has been introduced to solve the problems of a single objective, was developed to the possibility of applying it to solve the problems of multiple objectives in order to obtain nondominated solution. Also, to improve these solution a Local Search Technique has been introduced and added to the Hybrid Algorithm to possibly obtain more nondominated solutions nearby. We confirmed the accuracy of the solution both at the level of optimization problems with a single objective or multiple objectives and thus the possibility of applying it to solve some engineering problems. So the proposed approach has been applied to solve a problem of the most important in the operation of electric power system (multiobjective Reactive power compensation). Codice articolo 9783847311492
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Immagini fornite dal venditore
Hybrid Particle Swarm Algorithm for Multiobjective Optimization
Editore:
LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847311492
ISBN 13: 9783847311492
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -In this book we attempt to apply artificial intelligence techniques in solving engineering problems for the sustainable advantages of these methods. We had provide a hybrid algorithm that combines both of the Genetic Algorithm and Particle Swarm Optimization to solve the problems of optimization with a nonlinear single objective. In addition, the hybrid approach which has been introduced to solve the problems of a single objective, was developed to the possibility of applying it to solve the problems of multiple objectives in order to obtain nondominated solution. Also, to improve these solution a Local Search Technique has been introduced and added to the Hybrid Algorithm to possibly obtain more nondominated solutions nearby. We confirmed the accuracy of the solution both at the level of optimization problems with a single objective or multiple objectives and thus the possibility of applying it to solve some engineering problems. So the proposed approach has been applied to solve a problem of the most important in the operation of electric power system (multiobjective Reactive power compensation).Books on Demand GmbH, Überseering 33, 22297 Hamburg 156 pp. Englisch. Codice articolo 9783847311492
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Hybrid Particle Swarm Algorithm for Multiobjective Optimization: Integrating Particle Swarm Optimization with Genetic Algorithms for Multiobjective Optimization
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847311492
ISBN 13: 9783847311492
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Da: Mispah books, Redhill, SURRE, Regno Unito
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Paperback. Condizione: Like New. Like New. book. Codice articolo ERICA79638473114926
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