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
Main Author: Sun, Jun
Other Authors: Lai, Choi-Hong, Wu, Xiao-Jun
Format: eBook
Language:English
Published: Boca Raton, FL CRC Press 2012
Series:Chapman & Hall/CRC numerical analysis and scientific computing
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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:xxii, 393 pages illustrations
ISBN:1439835772
9781439835777
1280121920