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...

Descripción completa

Detalles Bibliográficos
Autor principal: Sun, Jun, 1971- (-)
Otros Autores: Lai, Choi-Hong, Wu, Xiao-Jun
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton [Fla.] : CRC Press 2012.
Colección: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
Ver en Universidad Loyola - Universidad Loyola Granada:https://colectivo.uloyola.es/Record/ELB158091
Solicitar por préstamo interbibliotecario: Correo
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"--
Notas:"A Chapman & Hall book."
Descripción Física:xxii, 393 p. : ill
Bibliografía:Includes bibliographical references and index.