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Numerical Optimization & Swarm Intelligence for optimization: Trust Region Algorithm & Particle Swarm Optimization - Softcover

 
9783659483950: Numerical Optimization & Swarm Intelligence for optimization: Trust Region Algorithm & Particle Swarm Optimization

Synopsis

In this book we attempt to apply swarm intelligence with numerical optimization techniques to solve multiobjective engineering problems. So, a hybrid algorithm that combines both of the trust region algorithm (numerical optimization technique) and particle swarm optimization (swarm intelligence method) to solve multiobjective optimization problems is presented. In addition, the new algorithm implemented to solve multiobjective engineering component design problems and the environmental economic dispatch problem to demonstrate the superiority of our approach and confirms its potential to solve engineering applications.

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About the Author

I got a B.Sc. degree in Electrical Engineering, M.Sc. and Phd in Engineering Mathematics from Faculty of Engineering, Menoufiya University, Shebin El-Kom, Egypt, in 2004, 2010 and 2013 respectively. My current research interests include: evolutionary multiobjective optimization, swarm intelligence and numerical optimization techniques.

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Mohammed A. El-Shorbagy
ISBN 10: 3659483958 ISBN 13: 9783659483950
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book we attempt to apply swarm intelligence with numerical optimization techniques to solve multiobjective engineering problems. So, a hybrid algorithm that combines both of the trust region algorithm (numerical optimization technique) and particle swarm optimization (swarm intelligence method) to solve multiobjective optimization problems is presented. In addition, the new algorithm implemented to solve multiobjective engineering component design problems and the environmental economic dispatch problem to demonstrate the superiority of our approach and confirms its potential to solve engineering applications. 148 pp. Englisch. Seller Inventory # 9783659483950

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Mohammed A. El-Shorbagy|Ahmed A. El-Sawy|Zeinab M. Hendawy
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3659483958 ISBN 13: 9783659483950
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: El-Shorbagy Mohammed A.I got a B.Sc. degree in Electrical Engineering, M.Sc. and Phd in Engineering Mathematics from Faculty of Engineering, Menoufiya University, Shebin El-Kom, Egypt, in 2004, 2010 and 2013 respectively. My current. Seller Inventory # 5158994

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book we attempt to apply swarm intelligence with numerical optimization techniques to solve multiobjective engineering problems. So, a hybrid algorithm that combines both of the trust region algorithm (numerical optimization technique) and particle swarm optimization (swarm intelligence method) to solve multiobjective optimization problems is presented. In addition, the new algorithm implemented to solve multiobjective engineering component design problems and the environmental economic dispatch problem to demonstrate the superiority of our approach and confirms its potential to solve engineering applications.Books on Demand GmbH, Überseering 33, 22297 Hamburg 148 pp. Englisch. Seller Inventory # 9783659483950

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Mohammed A. El-Shorbagy
Published by LAP LAMBERT Academic Publishing, 2013
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book we attempt to apply swarm intelligence with numerical optimization techniques to solve multiobjective engineering problems. So, a hybrid algorithm that combines both of the trust region algorithm (numerical optimization technique) and particle swarm optimization (swarm intelligence method) to solve multiobjective optimization problems is presented. In addition, the new algorithm implemented to solve multiobjective engineering component design problems and the environmental economic dispatch problem to demonstrate the superiority of our approach and confirms its potential to solve engineering applications. Seller Inventory # 9783659483950

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