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

Particle Swarm Optimisation

Classical and Quantum Perspectives

• Broschiertes Buch

Produktbeschreibung

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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Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 419
• Erscheinungstermin: 19. September 2019
• Englisch
• Abmessung: 231mm x 155mm x 20mm
• Gewicht: 249g
• ISBN-13: 9780367381936
• ISBN-10: 0367381931
• Artikelnr.: 57816921

Autorenporträt

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.