[PDF.24gb] Particle Swarm Optimisation: Classical and Quantum Perspectives (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Particle Swarm Optimisation: Classical and Quantum Perspectives (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

[PDF.bp29] Particle Swarm Optimisation: Classical and Quantum Perspectives (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

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 | #4983388 in Books |  2011-12-19 | Original language:English | PDF # 1 |  9.30 x1.10 x6.40l,1.63 | File type: PDF | 419 pages

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||About the 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

Although the particle swarm optimisation (PSO) algorithm requires relatively few parameters and is computationally simple and easy to implement, it is not a globally convergent algorithm. In Particle Swarm Optimisation: Classical and Quantum Perspectives, the authors introduce their concept of quantum-behaved particles inspired by quantum mechanics, which leads to the quantum-behaved particle swarm optimisation (QPSO) algorithm. This globally converge...

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