Citation: | YAN Tao and LIU Fengxian, “Quantum-Behaved Particle Swarm Optimization Algorithm Based on the Two-Body Problem,” Chinese Journal of Electronics, vol. 28, no. 3, pp. 569-576, 2019, doi: 10.1049/cje.2019.03.023 |
J. Kennedy and R.C. Eberhart,"Particle swarm optimization", Proc. of IEEE International Conference on Neural Networks, Piscataway, New Jersey, USA, pp.1942-1948, 1995.
|
D. Karaboga and B. Akay,"A comparative study of artificial bee colony algorithm", Neurocomputing, Vol. 214, No.1, pp.108-132, 2009.
|
X. Meng, L. Yu, X.Z. Gao, et al.,"A new Bio-inspired algorithm:Chicken swarm optimization", Proc. of International Conference in Swarm Intelligence, Hefei, China, pp.86-94, 2014.
|
D.E. Kong, H. Peng, J.J. M,"Adaptive stochastic resonance method based on artificial-fish swarm optimization", Acta Electronica Sinica, Vol.45, No.8, pp.1864-1872, 2017. (in Chinese)
|
X.K. Yang, M.L. Zhong, X.J. Jing, et al.,"NIR chemical-Image analysis based on adaptive local optimization PSO", Chinese Journal of Electronics, Vol.23, No.1, pp.115-118, 2014.
|
J. Wang, P. Hong, T.U. Min, et al.,"A fault diagnosis method of power systems based on an improved adaptive fuzzy spiking neural P systems and PSO algorithms", Chinese Journal of Electronics, Vol.25, No.2, pp.320-327, 2016.
|
S. Taghiyeh and J. Xu,"A new particle swarm optimization algorithm for noisy optimization problem", Swarm Intelligence, Vol.10, No.3, pp.161-192, 2016.
|
F. van den Bergh," An analysis of particle swarm optimizers", Ph.D.Thesis, University of Pretoria, USA, 2002.
|
M.R. Tanweer, S. Suresh and N. Sundararajan,"Selfregulating particle swarm optimization algorithm", Information Sciences, Vol.294, No.10, pp.182-202, 2015.
|
T. Yan, F.X. Liu and B. Chen,"New particle swarm optimisation Algorithm with Hénon chaotic map structure", Chinese Journal of Electronics, Vol.26, No.4, pp.747-753, 2017.
|
Y. Shi, H.C. Liu, L. Gao, et al.,"Cellular particle swarm optimization", Information Sciences, Vol.181, No.20, pp.4460-4493, 2011.
|
J. Sun, B. Feng and W. Xu,"Particle swarm optimization with particles having quantum behavior", Proc. of the 2004 Congress on Evolutionary Computation, Portland, USA, pp.1571-1580, 2004.
|
L.D.S. Coelho,"A quantum particle swarm optimizer with chaotic mutation operator", Chaos Solitons and Fractals, Vol.37, No.5, pp.1409-1418, 2008.
|
D. Tang, Y. Zhao and Y. Xue,"A quantum-behaved particle swarm optimization with memetic algorithm and memory for continuous non-linear large scale problems", Information Sciences, Vol.289, No.24, pp.162-189, 2014.
|
L. Lin, F. Guo, X. Xie, et al.,"Novel adaptive hybrid rule network based on TS fuzzy rules using an improved quantumbehaved particle swarm optimization", Neurocomputing, Vol.149, pp.1003-1013, 2015.
|
O.E. Turgut,"Hybrid chaotic quantum behaved particle swarm optimization algorithm for thermal design of plate fin heat exchangers", Applied Mathematical Modelling, Vol.40, No.1, pp.50-69, 2015.
|
B. Haddar, M. Khemakhem, S. Hanafi, et al.,"A hybrid quantum particle swarm optimization for the multidimensional knapsack problem", Engineering Applications of Artificial Intelligence, Vol.55, pp.1-13, 2016.
|
C. Jin and S.W. Jin,"Automatic image annotation using feature selection based on improving quantum particle swarm optimization", Signal Processing, Vol.109, No.2, pp.172-181, 2015.
|
J.Y. Zen,"Quantum mechanics", Science Press, Beijing, China, pp.27-108, 2007.
|
P.N. Suganthan and N. Hansen et al.,"Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization", Technical Report:Nanyang Technological University AND KanGAL Report, pp.1-50, 2005.
|
P.J. Angeline,"Evolutionary optimization versus particle swarm optimization:Philosophy and performance differences", Proc. of International Conference on Evolutionary Programming Vii, Heidelberg, Berlin, pp.601-610, 1998.
|