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All issues Volume 189 (2018) MATEC Web Conf., 189 (2018) 03020 References
Open Access
Issue
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
Article Number 03020
Number of page(s) 6
Section Cloud & Network
DOI https://doi.org/10.1051/matecconf/201818903020
Published online 10 August 2018
  1. Storn, Rainer, and Kenneth Price. “Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces.” Journal of global optimization 11.4 (1997): 341-359. [CrossRef] [MathSciNet] [Google Scholar]
  2. Choi, Tae Jong, and Chang Wook Ahn. “An Improved Differential Evolution Algorithm and Its Application to Large-Scale Artificial Neural Networks.” Journal of Physics: Conference Series. Vol. 806. No. 1. IOP Publishing, 2017. [CrossRef] [Google Scholar]
  3. Choi, Tae Jong, and Chang Wook Ahn. “Adaptive Cauchy Differential Evolution with Strategy Adaptation and Its Application to Training Large-Scale Artificial Neural Networks.” International Conference on Bio-Inspired Computing: Theories and Applications. Springer, Singapore, 2017. [Google Scholar]
  4. Choi, Tae Jong, and Chang Wook Ahn. “Artificial life based on boids model and evolutionary chaotic neural networks for creating artworks.” Swarm and Evolutionary Computation (2017). [Google Scholar]
  5. Brest, Janez, et al. “Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems.” IEEE transactions on evolutionary computation 10.6 (2006): 646-657. [CrossRef] [Google Scholar]
  6. Choi, Tae Jong, Chang Wook Ahn, and Jinung An. “An adaptive cauchy differential evolution algorithm for global numerical optimization.” The Scientific World Journal 2013 (2013). [Google Scholar]
  7. Choi, Tae Jong, and Chang Wook Ahn. “An adaptive differential evolution algorithm with automatic population resizing for global numerical optimization.” Bio-Inspired Computing-Theories and Applications. Springer, Berlin, Heidelberg, 2014. 68-72. [Google Scholar]
  8. Choi, Tae Jong, and Chang Wook Ahn. “An adaptive population resizing scheme for differential evolution in numerical optimization.” Journal of Computational and Theoretical Nanoscience 12.7 (2015): 1336-1350. [CrossRef] [Google Scholar]
  9. Choi, Tae Jong, and Chang Wook Ahn. “An adaptive cauchy differential evolution algorithm with population size reduction and modified multiple mutation strategies.” Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems-Volume 2. Springer, Cham, 2015. [Google Scholar]
  10. Choi, Tae Jong, and Chang Wook Ahn. “Adaptive á -stable differential evolution in numerical optimization.” Natural Computing 16.4 (2017): 637-657. [CrossRef] [Google Scholar]
  11. Choi, Tae Jong, and Chang Wook Ahn. “An Adaptive Cauchy Differential Evolution Algorithm with Bias Strategy Adaptation Mechanism for Global Numerical Optimization.” JCP 9.9 (2014): 2139-2145. [Google Scholar]
  12. Zhabitskaya, Evgeniya, and Mikhail Zhabitsky. “Asynchronous differential evolution.” Mathematical Modeling and Computational Science. Springer, Berlin, Heidelberg, 2012. 328-333. [CrossRef] [Google Scholar]
  13. Yao, Xin, Yong Liu, and Guangming Lin. “Evolutionary programming made faster.” IEEE Transactions on Evolutionary computation 3.2 (1999): 82-102. [Google Scholar]

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