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Particle Swarm Optimisation
ISBN/GTIN

Particle Swarm Optimisation

Classical and Quantum Perspectives
BookHardcover
Ranking52218inInformatik EDV
CHF149.00

Description

Helping readers numerically solve optimization problems, this book focuses on the fundamental principles and applications of PSO and QPSO algorithms. The authors develop their novel QPSO algorithm, a PSO variant motivated from quantum mechanics, and show how to implement it in real-world applications, including inverse problems, digital filter d
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Details

ISBN/GTIN978-1-4398-3576-0
Product TypeBook
BindingHardcover
Publishing date19/12/2011
Edition1. A.
SeriesChapman & Hall/CRC Numerical Analysis and Scientific Computing Series
Pages419 pages
LanguageEnglish
SizeWidth 156 mm, Height 234 mm, Thickness 28 mm
Weight725 g
IllustrationsFarb., s/w. Abb.
Article no.11419482
CatalogsBuchzentrum
Data source no.23104896
Product groupInformatik EDV
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Series

Author

Jun Sun is an associate professor in the Department of Computer Science and Technology at Jiangnan University. He is also a researcher at the Key Laboratory of Advanced Process Control for Light Industry in China. He has a Ph.D. in control theory and control engineering. His research interests include computational intelligence, numerical optimisation, and machine learning.



Choi-Hong Lai is a professor of numerical mathematics in the Department of Mathematical Sciences at the University of Greenwich. He has a Ph.D. in computational aerodynamics and PDEs. His research interests include numerical PDEs, numerical algorithms, and parallel algorithms for industrial applications, such as aeroacoustics, inverse problems, computational finance, and image processing.



Xiao-Jun Wu is a professor at Jiangnan University. He has a Ph.D. in pattern recognition and intelligent systems. He has published more than 150 papers on pattern recognition, computer vision, fuzzy systems, neural networks, and intelligent systems.