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Particle swarm optimisation : classical and quantum perspectives /

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This volume provides a detailed description of the state of the art of particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) algorithms. The authors present the motivation, principles, and theoretical analysis of the algorithms. They discuss advanced topics such as...

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Bibliographic Details
Main Author: Sun, Jun, 1971- (Author)
Corporate Author: Taylor & Francis
Other Authors: Lai, Choi-Hong, Wu, Xiao-Jun
Format: eBook
Language:English
Published: Boca Raton, Fla. : CRC Press, 2012.
Series:Chapman & Hall/CRC numerical analysis and scientific computing.
Subjects:
Mathematical optimization.
Particles (Nuclear physics)
Swarm intelligence.
Optimisation mathématique.
Particules (Physique nucléaire)
particle physics.
Mathematical optimization
Swarm intelligence
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This volume provides a detailed description of the state of the art of particle swarm optimization (PSO) and quantum-behaved particle swarm optimization (QPSO) algorithms. The authors present the motivation, principles, and theoretical analysis of the algorithms. They discuss advanced topics such as the behavior of individual particles, global convergence, time complexity, and rate of convergence. The authors also present various examples and applications to show the applicability of QPSO algorithms. In addition, the book includes the source code of the algorithm--Provided by publisher.
Item Description:A Chapman and Hall book.
Physical Description:1 online resource (xxii, 397 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9781439835777
1439835772
1439835764
9781439835760