August 2020
Intermediate to advanced
362 pages
12h 58m
English
Content preview from Swarm Intelligence Algorithms
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Conclusions 83
13th International Conference on Computational Intelligence and
Security (CIS), 2017, pp. 207-210.
8. A. I. Hafez, H. M. Zawbaa, E. Emary, H. A. Mahmoud, A. E. Has-
sanien. “An Innovative Approach for Feature Selection Based on
Chicken Swarm Optimization” in Proc. of the 2015 7th International
Conference of Soft Computing and Pattern Recognition (SoCPaR),
2015, pp. 19-24.
9. Roslina, M. Zarlis, I. T. R. Yanto, D. Hartama. “A Framework of
Training ANFIS using Chicken Swarm Optimization for Solving
Classification Problems” in Proc. of the 2016 International Con-
ference on Informatics and Computing (ICIC), 2016, pp. 437-441.
10. Y. Ji, Y. Wu, X. Sun, S. Yan, Q. Chen, B. Du. “A New Algorithm
for Attitude Determination Based on Chicken Swarm ...
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