An adaptive differential evolution algorithm using fitness distance correlation and neighbourhood-based mutation strategy
Author:
Affiliation:
1. School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou City, People's Republic of China
2. School of Mathematical and Computer Sciences, Gannan Normal University, Ganzhou City, People's Republic of China
Funder
National Natural Science Foundation of China
JiangXi Provincial Natural Science Foundation
National Key Research and Development Program
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Human-Computer Interaction,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.1997913
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3. Choudhary, N., Sharma, H. & Sharma, N. (2016). Differential evolution algorithm using stochastic mutation. In Paper presented at the 2016 international conference on computing, communication and automation (ICCCA). IEEE.
4. Corder, G. W. & Foreman, D. I. (2009). Nonparametric statistics for non-statisticians (a step-by-step approach) | Nonparametric statistics: an Introduction. pp. 1–11. John Wiley & Sons, Inc.
5. Adaptive multiple-elites-guided composite differential evolution algorithm with a shift mechanism
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