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In den WarenkorbPAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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In den WarenkorbZustand: New.
Verlag: Springer International Publishing AG, CH, 2008
ISBN 10: 3031005767 ISBN 13: 9783031005763
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. 1°. 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.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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In den WarenkorbZustand: New. In English.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbPF. Zustand: New.
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In den WarenkorbZustand: NEW.
Verlag: Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2008
ISBN 10: 3031005767 ISBN 13: 9783031005763
Sprache: Englisch
Anbieter: moluna, Greven, Deutschland
Zustand: New. 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.
Verlag: Springer International Publishing AG, CH, 2008
ISBN 10: 3031005767 ISBN 13: 9783031005763
Sprache: Englisch
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 36,45
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: New. 1°. 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.
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Hardcover. Zustand: New. SHRINK-WRAPPED.
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Erstausgabe
Hardcover. Zustand: Fine. Zustand des Schutzumschlags: No Dust Jacket. First Edition. Laminated hardcover. Trace shelfwear else tight and unmarked, appears unread. ; Large 8vo 9" - 10" tall.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: Brand New. 102 pages. 9.25x7.51x9.25 inches. In Stock. This item is printed on demand.