Particle swarm optimisation [electronic resource] : classical and quantum perspectives / Jun Sun, Choi-Hong Lai, Xiao-Jun Wu.
Material type:
TextSeries: Chapman & Hall/CRC numerical analysis and scientific computingPublication details: Boca Raton [Fla.] : CRC Press, 2012Description: xxii, 393 p. : illISBN: 9781439835777 (electronic bk.)Subject(s): Mathematical optimization | Particles (Nuclear physics) | Swarm intelligenceGenre/Form: Electronic books.DDC classification: 531/.16 LOC classification: QC20.7.M27 | S86 2012Online resources: Click to View 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.
"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"-- Provided by publisher.
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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