Chinese Journal of Quantum Electronics, Volume. 24, Issue 5, 569(2007)
Quantum particle swarms algorithm for continuous space optimization
[1] [1] Kennedy J,Eberhart R C. Particle swarms optimization [C].Proc. IEEE International Conference on Neural Networks [M].USA: IEEE Press,1995.4: 1942-1948.
[2] [2] van den Bergh F,Engelbrecht A P. Cooperative learning in neural networks using particle swarm optimizers [J].South African Computer Journal,2000,11: 84-90.
[3] [3] Shi Y H,Eberhart R C. A modified particle swarm optimizer [C].IEEE World Congress on Computational Intelligence [M].Anchorage,1998.69-73.
[4] [4] Lovbjerg M,Rasmussen T K,Krink T. Hybrid particle swarm optimizer with breeding and subpopulations [C].Proc of the 3rd Genetic and Evolutionary Computation Conference [M].Sanfrancisco,2001.469-476.
[5] [5] Lu Z S,Hou Z R. Particle swarm optimization with adaptive mutation [J].Acta Electronica Sinica2004,32(3): 416-420.
[6] [6] Eberhart R C,Shi Y H. Comparing inertia weights and constriction factors in particle swarm optimization [C].Proc 2000 Congress Evolutionary Computation [M].Piscataway: IEEE Press,2000.84-88.
[8] [8] Hyun K,Kim J H. Quantum-inspired evolutionary algorithm for a class of combinational optimization [J].IEEE Transactions on Evolutionary Computing,2002,6(6): 580-593.
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LI Shi-yong, LI Pan-chi. Quantum particle swarms algorithm for continuous space optimization[J]. Chinese Journal of Quantum Electronics, 2007, 24(5): 569
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Received: Sep. 25, 2006
Accepted: --
Published Online: Jun. 13, 2010
The Author Email: Shi-yong LI (lsy@hit.edu.cn)
CSTR:32186.14.