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Hybrid Particle Swarm Algorithm for Multiobjective Optimization: Integrating Particle Swarm Optimization with Genetic Algorithms for Multiobjective Optimization - Tapa blanda
Sinopsis
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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Reseña del editor
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).
Biografía del autor
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.
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2011
- ISBN 10 3847311492
- ISBN 13 9783847311492
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas156
- Contacto del fabricanteno disponible
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Hybrid Particle Swarm Algorithm for Multiobjective Optimization
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847311492
ISBN 13: 9783847311492
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Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: 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. Nº de ref. del artículo: 5509251
Cantidad disponible: Más de 20 disponibles
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Hybrid Particle Swarm Algorithm for Multiobjective Optimization
Publicado por
LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847311492
ISBN 13: 9783847311492
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783847311492
Cantidad disponible: 2 disponibles
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Hybrid Particle Swarm Algorithm for Multiobjective Optimization : Integrating Particle Swarm Optimization with Genetic Algorithms for Multiobjective Optimization
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847311492
ISBN 13: 9783847311492
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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). Nº de ref. del artículo: 9783847311492
Cantidad disponible: 1 disponibles
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Hybrid Particle Swarm Algorithm for Multiobjective Optimization
Publicado por
LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10: 3847311492
ISBN 13: 9783847311492
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783847311492
Cantidad disponible: 2 disponibles
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Hybrid Particle Swarm Algorithm for Multiobjective Optimization: Integrating Particle Swarm Optimization with Genetic Algorithms for Multiobjective Optimization
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3847311492
ISBN 13: 9783847311492
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Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA79638473114926
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