Particle swarm optimisation: classical and quantum perspectives
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Bibliographic Details
Main Author: Sun, Jun (Author)
Format: Electronic eBook
Language:English
Published: Boca Raton [Fla.] CRC Press 2012
Series:Chapman & Hall/CRC numerical analysis and scientific computing
Subjects:
Item Description:"A Chapman & Hall book."
Includes bibliographical references and index
"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"--
Physical Description:1 Online-Ressource (xxii, 393 p.)
ISBN:9781439835760
9781439835777

There is no print copy available.

Interlibrary loan Place Request Caution: Not in THWS collection!