Improved Harris Hawks optimization for global optimization and engineering design-Reference-Cited by-同舟云学术

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Improved Harris Hawks optimization for global optimization and engineering design

Published:2023-06-19 Issue: Volume: Page:
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Chen Lei,Feng Changzhou,Ma Yunpeng

Funder

National Natural Science Foundation of China

Science and Technology Research Team in Higher Education Institutions of Hebei Province

Natural Science Foundation of Tianjin City

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

https://link.springer.com/content/pdf/10.1007/s10586-023-04020-y.pdf

Reference68 articles.

1. Chen, H., Zhang, Q., Luo, J., Xu, Y., Zhang, X.: An enhanced bacterial foraging optimization and its application for training kernel extreme learning machine. Appl. Soft Comput. 86, 105884 (2020)

2. Aljarah, I., Mafarja, M., Heidari, A.A., Faris, H., Zhang, Y., Mirjalili, S.: Asynchronous accelerating multi-leader salp chains for feature selection. Appl. Soft Comput. 71, 964–979 (2018)

3. Chen, H., Yang, C., Heidari, A.A., Zhao, X.: An efficient double adaptive random spare reinforced whale optimization algorithm. Expert Syst. Appl. 154, 113018 (2020)

4. Derrac, J., García, S., Molina, D., Herrera, F.: A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms. Swarm Evol. Comput. 1(1), 3–18 (2011)

5. Deng, W., Zhao, H., Zou, L., Li, G., Yang, X., Wu, D.: A novel collaborative optimization algorithm in solving complex optimization problems. Soft Comput. 21(15), 4387–4398 (2017)

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