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

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




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 | #5364688 in Books |  2011-12-19 | Original language:English | PDF # 1 |  9.30 x1.10 x6.40l,1.63 | File type: PDF | 419 pages

||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...

You easily download any file type for your device.Particle Swarm Optimisation: Classical and Quantum Perspectives (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)   |  Jun Sun, Choi-Hong Lai, Xiao-Jun Wu.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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