The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A novel swarm intelligence optimization approach: sparrow search algorithm
Open accessAbstract
In this paper, a novel swarm optimization approach, namely sparrow search algorithm (SSA), is proposed inspired by the group wisdom, foraging and anti-predation behaviours of sparrows. Experiments on 19 benchmark functions are conducted to test the performance of the SSA and its performance is compared with other algorithms such as grey wolf optimizer (GWO), gravitational search algorithm (GSA), and particle swarm optimization (PSO). Simulation results show that the proposed SSA is superior over GWO, PSO and GSA in terms of accuracy, convergence speed, stability and robustness. Finally, the effectiveness of the proposed SSA is demonstrated in two practical engineering examples.
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Citations
Cites
No free lunch theorems for optimization
Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237
Holland, J. H. (1992) · Scientific American · doi:10.1038/scientificamerican0792-66 · Cited by 5,764
Hamilton, W. D. (1971) · Journal of Theoretical Biology · doi:10.1016/0022-5193(71)90189-5 · Cited by 3,506
Cited by
Dehghani, M., & Trojovský, P. (2023) · Frontiers in Mechanical Engineering · doi:10.3389/fmech.2022.1126450 · Cited by 567
Advances in Sparrow Search Algorithm: A Comprehensive Survey
Gharehchopogh, F. S., Namazi, M., Ebrahimi, L., & Abdollahzadeh, B. (2023) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-022-09804-w · Cited by 399
Lee, Y.-D., Lin, W.-C., Jiang, J.-L., Cai, J.-H., Huang, W.-T., & Yao, K.-C. (2021) · Energies · doi:10.3390/en14248370 · Cited by 16
Binpeng, Z., Yang, Z., Jie, G., Yan, L., Liangcai, C., & Cunfu, H. (2025) · Journal of Power Sources · doi:10.1016/j.jpowsour.2025.236469 · Cited by 12
Temperature Prediction of Mushrooms Based on a Data—Physics Hybrid Approach
Wang, M., Kong, X., Shan, F., Zheng, W., Ren, P., Wang, J., Chen, C., Zhang, X., & Zhao, C. (2024) · Agriculture · doi:10.3390/agriculture14010145 · Cited by 9
Metadata
- Authors
- Xue, J., & Shen, B.
- Venue
- Systems Science & Control Engineering
- Publisher
- Informa UK Limited
- Published
- 2020-01-01
- Volume
- 8
- Issue
- 1
- Pages
- 22-34
- ISSN
- 2164-2583 (ISSN-L)
- OpenAlex
- W2998553334
- Cited by
- 3,839
- References
- 3
- FWCI
- 139.22
- Type
- journal article
- Language
- en
- Open access
- gold
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- Xue, J., & Shen, B. (2020). A novel swarm intelligence optimization approach: sparrow search algorithm. Systems Science & Control Engineering. https://doi.org/10.1080/21642583.2019.1708830
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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