The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
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Cites
Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks · doi:10.1109/icnn.1995.488968 · Cited by 58,192
Optimization by Simulated Annealing
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983) · Science · doi:10.1126/science.220.4598.671 · Cited by 45,134
Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2013.12.007 · Cited by 19,343
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
Harris hawks optimization: Algorithm and applications
Heidari, A. A., Mirjalili, S., Faris, H., Aljarah, I., Mafarja, M., & Chen, H. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.02.028 · Cited by 6,324
Holland, J. H. (1992) · Scientific American · doi:10.1038/scientificamerican0792-66 · Cited by 5,764
SCA: A Sine Cosine Algorithm for solving optimization problems
Mirjalili, S. (2016) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.12.022 · Cited by 5,696
Derrac, J., García, S., Molina, D., & Herrera, F. (2011) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2011.02.002 · Cited by 5,512
Bäck, T. (1996) · Oxford University Press eBooks · doi:10.1093/oso/9780195099713.001.0001 · Cited by 5,113
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Metadata
- Authors
- Zhao, S., Zhang, T., Ma, S., & Wang, M.
- Venue
- Applied Intelligence
- Published
- 2022-09-13
- Volume
- 53
- Issue
- 10
- Pages
- 11833-11860
- ISSN
- 0924-669X (ISSN-L)
- 1573-7497
- OpenAlex
- W4295409151
- Cited by
- 328
- References
- 46
- FWCI
- 22.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems. https://app.cochat.ai/papers/10.1007/s10489-022-03994-3
- The paper
- Zhao, S., Zhang, T., Ma, S., & Wang, M. (2023). Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems. Applied Intelligence. https://doi.org/10.1007/s10489-022-03994-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
