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Particle Swarm Optimizaton: A Physics-Based Approach (Synthesis Lectures on Computational Electromagnetics) - Softcover
- PublisherSpringer
- Publication date2008
- ISBN 10 3031005767
- ISBN 13 9783031005763
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages104
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Particle Swarm Optimizaton: A Physics-Based Approach (Synthesis Lectures on Computational Electromagnetics)
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Particle Swarm Optimizaton : A Physics-Based Approach
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Particle Swarm Optimizaton: A Physics-Based Approach (Synthesis Lectures on Computational Electromagnetics)
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Particle Swarm Optimizaton
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Springer International Publishing Mai 2008, 2008
ISBN 10: 3031005767
ISBN 13: 9783031005763
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work aims to provide new introduction to the particle swarm optimization methods using a formal analogy with physical systems. By postulating that the swarm motion behaves similar to both classical and quantum particles, we establish a direct connection between what are usually assumed to be separate fields of study, optimization and physics. Within this framework, it becomes quite natural to derive the recently introduced quantum PSO algorithm from the Hamiltonian or the Lagrangian of the dynamical system. The physical theory of the PSO is used to suggest some improvements in the algorithm itself, like temperature acceleration techniques and the periodic boundary condition. At the end, we provide a panorama of applications demonstrating the power of the PSO, classical and quantum, in handling difficult engineering problems. The goal of this work is to provide a general multi-disciplinary view on various topics in physics, mathematics, and engineering by illustrating their interdependence within the unified framework of the swarm dynamics. Table of Contents: Introduction / The Classical Particle Swarm Optimization Method / Boundary Conditions for the PSO Method / The Quantum Particle Swarm Optimization / Bibliography /Index 104 pp. Englisch. Seller Inventory # 9783031005763
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Particle Swarm Optimizaton : A Physics-Based Approach
Published by
Springer International Publishing, 2008
ISBN 10: 3031005767
ISBN 13: 9783031005763
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This work aims to provide new introduction to the particle swarm optimization methods using a formal analogy with physical systems. By postulating that the swarm motion behaves similar to both classical and quantum particles, we establish a direct connection between what are usually assumed to be separate fields of study, optimization and physics. Within this framework, it becomes quite natural to derive the recently introduced quantum PSO algorithm from the Hamiltonian or the Lagrangian of the dynamical system. The physical theory of the PSO is used to suggest some improvements in the algorithm itself, like temperature acceleration techniques and the periodic boundary condition. At the end, we provide a panorama of applications demonstrating the power of the PSO, classical and quantum, in handling difficult engineering problems. The goal of this work is to provide a general multi-disciplinary view on various topics in physics, mathematics, and engineering by illustrating their interdependence within the unified framework of the swarm dynamics. Table of Contents: Introduction / The Classical Particle Swarm Optimization Method / Boundary Conditions for the PSO Method / The Quantum Particle Swarm Optimization / Bibliography /Index. Seller Inventory # 9783031005763
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Particle Swarm Optimizaton
ISBN 10: 3031005767
ISBN 13: 9783031005763
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This work aims to provide new introduction to the particle swarm optimization methods using a formal analogy with physical systems. By postulating that the swarm motion behaves similar to both classical and quantum particles, we establish a direct connectio. Seller Inventory # 608128997
Quantity: Over 20 available