Particle swarm optimisation : classical and quantum perspectives /

"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 s...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Sun, Jun, 1971-
Other Authors: Lai, Choi-Hong, Wu, Xiao-Jun
Format: Electronic eBook
Language:English
Published: Boca Raton, FL : CRC Press, 2012
Series:Chapman & Hall/CRC numerical analysis and scientific computing.
Subjects:
Local Note:ProQuest Ebook Central
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"--
Physical Description:1 online resource (xxii, 393 pages) : illustrations
Bibliography:Includes bibliographical references.
ISBN:9781439835777
1439835772
1280121920
9781280121920
Source of Description, Etc. Note:Print version record.