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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Detalles Bibliográficos
Autor principal: Sun, Jun, 1971-
Otros autores: Lai, Choi-Hong., Wu, Xiao-Jun.
Formato: Electrónico
Idioma:English
Fecha de publicación: Boca Raton [Fla.] : CRC Press, 2012.
Series:Chapman & Hall/CRC numerical analysis and scientific computing.
Materias:
Acceso en línea:https://recursos.uloyola.es/login?url=https://accedys.uloyola.es:8443/accedix0/sitios/ebook.php?id=158091
Descripción
Sumario:"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"--
Descripción de la copia:"A Chapman & Hall book."
Descripción física:xxii, 393 p. : ill.
Bibliografía:Includes bibliographical references and index.