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 such as...

Descripción completa

Detalles Bibliográficos
Otros Autores: Sun, Jun, 1971, author (author), Lai, Choi-Hong (-), Wu, Xiao-Jun
Formato: Libro electrónico
Idioma:Inglés
Publicado: Boca Raton [Fla.] : CRC Press 2012.
Boca Raton, Fla. : 2012.
Edición:1st ed
Colección:Chapman & Hall/CRC numerical analysis and scientific computing.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009755078806719
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--Provided by publisher.
Notas:A Chapman & Hall book.
Descripción Física:1 online resource (419 p.)
Bibliografía:Includes bibliographical references and index.
ISBN:9781040057704
9780429105999
9781280121920
9786613525789
9781439835777