The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems
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Citations
Cites
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
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-citationNo 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
GSA: 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
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
Self-citationDerrac, J., García, S., Molina, D., & Herrera, F. (2011) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2011.02.002 · Cited by 5,512
AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
Karaboğa, D. (2005) · Cited by 5,466
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
Mirjalili, S. (2015) · Knowledge-Based Systems · doi:10.1016/j.knosys.2015.07.006 · Cited by 4,626
Self-citation
Cited by
Greylag Goose Optimization: Nature-inspired optimization algorithm
El-kenawy, E.-S. M., Khodadadi, N., Mirjalili, S., Abdelhamid, A. A., Eid, M. M., & Ibrahim, A. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122147 · Cited by 586
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Metadata
- Authors
- Abdollahzadeh, B., Gharehchopogh, F. S., Khodadadi, N., & Mirjalili, S.
- Venue
- Advances in Engineering Software
- Publisher
- Elsevier BV
- Published
- 2022-12
- Volume
- 174
- Pages
- 103282
- ISSN
- 0965-9978 (ISSN-L)
- OpenAlex
- W4308157882
- Cited by
- 482
- References
- 37
- FWCI
- 31.75
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems. https://app.cochat.ai/papers/10.1016/j.advengsoft.2022.103282
- The paper
- Abdollahzadeh, B., Gharehchopogh, F. S., Khodadadi, N., & Mirjalili, S. (2022). Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems. Advances in Engineering Software. https://doi.org/10.1016/j.advengsoft.2022.103282
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.
