Improved quantum genetic algorithm for identification of hyper-chaotic systems

Ying HE; Haili ZHANG; Huangxia SHI; Jian LU

doi:10.3969/j.issn.1007-5461. 2016.05.011

Journals >Chinese Journal of Quantum Electronics >Volume 33 >Issue 5 >Page 578 > Article

Chinese Journal of Quantum Electronics
Vol. 33, Issue 5, 578 (2016)

Improved quantum genetic algorithm for identification of hyper-chaotic systems

Ying HE^1、*, Haili ZHANG¹, Huangxia SHI¹, and Jian LU²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1007-5461. 2016.05.011 Cite this Article

HE Ying, ZHANG Haili, SHI Huangxia, LU Jian. Improved quantum genetic algorithm for identification of hyper-chaotic systems[J]. Chinese Journal of Quantum Electronics, 2016, 33(5): 578 Copy Citation Text

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References

[4] Zhang H. Parameter identification of Lorenz chaotic system through quantum genetic algorithm[J]. International Journal of Applied Mathematics and Statistics, 2013, 4(16): 349-356.

[8] Narayanan A, Moore M. Quantum-inspired genetic algorithms[C]. IEEE International Conference on Evolutionary Computation, 1996: 61-66.

HE Ying, ZHANG Haili, SHI Huangxia, LU Jian. Improved quantum genetic algorithm for identification of hyper-chaotic systems[J]. Chinese Journal of Quantum Electronics, 2016, 33(5): 578

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