Particle Swarm Optimisation : Classical and Quantum Perspectives

Sun, Jun; Lai, Choi-Hong; Wu, Xiao-Jun

ISBN 10: 0367381931 / ISBN 13: 9780367381936

Edité par CRC Press, 2019

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Détails bibliographiques

• Titre: Particle Swarm Optimisation : Classical and Quantum Perspectives
• Éditeur: CRC Press
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 0367381931
• ISBN à 13 chiffres: 9780367381936
• Reliure: Couverture souple
• État de l'article: As New

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Synopsis

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

À propos de l?auteur

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.