Articles liés à Hybrid Particle Swarm Algorithm for Multiobjective...
Hybrid Particle Swarm Algorithm for Multiobjective Optimization: Integrating Particle Swarm Optimization with Genetic Algorithms for Multiobjective Optimization - Couverture souple
Synopsis
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).
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
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).
Biographie de l'auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurLAP LAMBERT Academic Publishing
- Date d'édition2011
- ISBN 10 3847311492
- ISBN 13 9783847311492
- ReliureBroché
- Langueanglais
- Nombre de pages156
- Coordonnées du fabricantnon disponible
Acheter neuf
Afficher cet article
EUR 48,50
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délaisRésultats de recherche pour Hybrid Particle Swarm Algorithm for Multiobjective...
Image fournie par le vendeur
Hybrid Particle Swarm Algorithm for Multiobjective Optimization
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3847311492
ISBN 13 : 9783847311492
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : 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. N° de réf. du vendeur 5509251
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Hybrid Particle Swarm Algorithm for Multiobjective Optimization : Integrating Particle Swarm Optimization with Genetic Algorithms for Multiobjective Optimization
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3847311492
ISBN 13 : 9783847311492
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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). N° de réf. du vendeur 9783847311492
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Hybrid Particle Swarm Algorithm for Multiobjective Optimization
Edité par
LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10 : 3847311492
ISBN 13 : 9783847311492
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783847311492
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Hybrid Particle Swarm Algorithm for Multiobjective Optimization
Edité par
LAP LAMBERT Academic Publishing Dez 2011, 2011
ISBN 10 : 3847311492
ISBN 13 : 9783847311492
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783847311492
Quantité disponible : 2 disponible(s)
Image d'archives
Hybrid Particle Swarm Algorithm for Multiobjective Optimization: Integrating Particle Swarm Optimization with Genetic Algorithms for Multiobjective Optimization
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3847311492
ISBN 13 : 9783847311492
Ancien ou d'occasion
Paperback
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Paperback. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA79638473114926
Quantité disponible : 1 disponible(s)