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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Bibliographische Detailangaben
1. Verfasser: Sun, Jun (VerfasserIn)
Weitere Verfasser: Lai, Choi-Hong (VerfasserIn), Wu, Xiao-Jun (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Boca Ratonm, Fla. u.a. CRC Press / Chapmann & Hall c 2012
Schriftenreihe:Chapman & Hall/ CRC numerical analysis and scientific computing
A Chapman & Hall book
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Beschreibung
Zusammenfassung:"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"--
Beschreibung:Auf der CD-ROM Beil.: MATLAB, Fortran and C++ source codes for the main algorithms
Beschreibung:XXII, 397 S.
Ill., graph. Darst.
24 cm
1 CD-ROM (12 cm.)
ISBN:9781439835760
978-1-4398-3576-0