The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Greylag Goose Optimization: Nature-inspired optimization algorithm
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Citations
Cites
Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2013.12.007 · Cited by 19,343
Self-citationThe Whale Optimization Algorithm
Mirjalili, S., & Lewis, A. (2016) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2016.01.008 · Cited by 14,581
Self-citationGSA: A Gravitational Search Algorithm
Rashedi, E., Nezamabadi-pour, H., & Saryazdi, S. (2009) · Information Sciences · doi:10.1016/j.ins.2009.03.004 · Cited by 7,358
Multi-Verse Optimizer: a nature-inspired algorithm for global optimization
Mirjalili, S., Mirjalili, S. M., & Hatamlou, A. (2016) · Neural Computing and Applications · doi:10.1007/s00521-015-1870-7 · Cited by 2,925
Self-citationDorigo, M., Birattari, M., & Stutzle, T. (2006) · IEEE Computational Intelligence Magazine · doi:10.1109/ci-m.2006.248054 · Cited by 1,880
Binary grey wolf optimization approaches for feature selection
Emary, E., Zawbaa, H. M., & Hassanien, A. E. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.06.083 · Cited by 1,410
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications
Zhao, W., Wang, L., & Mirjalili, S. (2022) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2021.114194 · Cited by 987
Self-citationArtificial bee colony algorithm
Karaboğa, D. (2010) · Scholarpedia · doi:10.4249/scholarpedia.6915 · Cited by 777
Stochastic Fractal Search: A powerful metaheuristic algorithm
Salimi, H. (2015) · Knowledge-Based Systems · doi:10.1016/j.knosys.2014.07.025 · Cited by 664
Feature selection using Joint Mutual Information Maximisation
Bennasar, M., Hicks, Y., & Setchi, R. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.07.007 · Cited by 659
Cited by
Zhu, Y., Zhang, M., Huang, Q., Wu, X., Wan, L., & Huang, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-87285-0 · Cited by 42
Metadata
- Authors
- El-kenawy, E.-S. M., Khodadadi, N., Mirjalili, S., Abdelhamid, A. A., Eid, M. M., & Ibrahim, A.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2024-03
- Volume
- 238
- Pages
- 122147
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W4387745472
- Cited by
- 586
- References
- 46
- FWCI
- 51.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Greylag Goose Optimization: Nature-inspired optimization algorithm. https://app.cochat.ai/papers/10.1016/j.eswa.2023.122147
- The paper
- El-kenawy, E.-S. M., Khodadadi, N., Mirjalili, S., Abdelhamid, A. A., Eid, M. M., & Ibrahim, A. (2024). Greylag Goose Optimization: Nature-inspired optimization algorithm. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2023.122147
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.
