Shuffled frog leaping algorithm based on quantum rotation angle

Bibo Hu

doi:10.1051/matecconf/202030903012

All issues

Volume 309 (2020)

MATEC Web Conf., 309 (2020) 03012

References

Open Access

Issue		MATEC Web Conf. Volume 309, 2020 2019 International Conference on Computer Science Communication and Network Security (CSCNS2019)


Article Number		03012
Number of page(s)		7
Section		Smart Algorithms and Recognition
DOI		https://doi.org/10.1051/matecconf/202030903012
Published online		04 March 2020

Liu, Chao; Niu, Peifeng; Li, Guoqiang; Ma, Yunpeng; Zhang, Weiping; Chen, Ke, Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems, Journal of Intelligent Manufacturing, 2018, Vol.29(5), pp. 1133–1153 [CrossRef] [Google Scholar]
Li, Rongbo; Jiang, Zhiqiang; Li, Anqiang; Yu, Shan; Ji, Changming, An improved shuffled frog leaping algorithm and its application in the optimization of cascade reservoir operation Hydrological Sciences Journal, 10 December 2018, Vol.63(15 -16), pp.2020–2034 [Google Scholar]
Sun J, Xu W B,Feng B. A global search strategy of quantum-behaved particle swarm optimization//Proceedings of IEEE Conference on Cybernetics and Intelligent Systems. 2004,111–116. [Google Scholar]
Li Panchi, Li Shiyong, Quantum Ant Colony algorithm for solving continuous Space Optimization problems. Control theory and application. 2008,25 (2); 237–241 [Google Scholar]
Jiang Mingyan, Yuan Dongfeng. Artificial fish swarm algorithm and its application. Beijing: science Press, 2012 [Google Scholar]
Liu, Kui; Cai, Chunxiao; Li, Juan; Ma, Long; Sun, Hengxin; Gao, Jiangrui, Squeezing-enhanced rotating-angle measurement beyond the quantum limit,Applied Physics Letters, 24 December 2018, Vol.113(26) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.

[1] Liu, Chao; Niu, Peifeng; Li, Guoqiang; Ma, Yunpeng; Zhang, Weiping; Chen, Ke, Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems, Journal of Intelligent Manufacturing, 2018, Vol.29(5), pp. 1133–1153 [CrossRef] [Google Scholar]

[2] Li, Rongbo; Jiang, Zhiqiang; Li, Anqiang; Yu, Shan; Ji, Changming, An improved shuffled frog leaping algorithm and its application in the optimization of cascade reservoir operation Hydrological Sciences Journal, 10 December 2018, Vol.63(15 -16), pp.2020–2034 [Google Scholar]

[3] Sun J, Xu W B,Feng B. A global search strategy of quantum-behaved particle swarm optimization//Proceedings of IEEE Conference on Cybernetics and Intelligent Systems. 2004,111–116. [Google Scholar]

[4] Li Panchi, Li Shiyong, Quantum Ant Colony algorithm for solving continuous Space Optimization problems. Control theory and application. 2008,25 (2); 237–241 [Google Scholar]

[5] Jiang Mingyan, Yuan Dongfeng. Artificial fish swarm algorithm and its application. Beijing: science Press, 2012 [Google Scholar]

[6] Liu, Kui; Cai, Chunxiao; Li, Juan; Ma, Long; Sun, Hengxin; Gao, Jiangrui, Squeezing-enhanced rotating-angle measurement beyond the quantum limit,Applied Physics Letters, 24 December 2018, Vol.113(26) [Google Scholar]