The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
A novel hybrid PSO–GWO algorithm for 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
Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2013.12.007 · Cited by 19,343
Comparing inertia weights and constriction factors in particle swarm optimization
Eberhart, R. C., & Shi, Y. (2002) · Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512) · doi:10.1109/cec.2000.870279 · Cited by 2,966
(2005) · Cited by 2,565
Grey wolf optimizer: a review of recent variants and applications
Faris, H., Aljarah, I., Al-Betar, M. A., & Mirjalili, S. (2018) · Neural Computing and Applications · doi:10.1007/s00521-017-3272-5 · Cited by 1,180
Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
Mafarja, M. M., & Mirjalili, S. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.04.053 · Cited by 1,148
Proceedings Congress on Evolutionary Computation 2001
(2001) · Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat No 01TH8546) CEC-01 · doi:10.1109/cec.2001.934259 · Cited by 1,086
How effective is the Grey Wolf optimizer in training multi-layer perceptrons
Mirjalili, S. (2015) · Applied Intelligence · doi:10.1007/s10489-014-0645-7 · Cited by 677
A hybrid PSO-GA algorithm for constrained optimization problems
Garg, H. (2016) · Applied Mathematics and Computation · doi:10.1016/j.amc.2015.11.001 · Cited by 655
A New Bio-inspired Algorithm: Chicken Swarm Optimization
Meng, X., Liu, Y., Gao, X., & Zhang, H. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-11857-4_10 · Cited by 590
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
EDLA-EFDS: A Novel Ensemble Deep Learning Approach For Electrical Fault Detection Systems
Elmasry, W., & Wadi, M. (2022) · Electric Power Systems Research · doi:10.1016/j.epsr.2022.107834 · Cited by 42
Secure and optimized satellite image sharing based on chaotic eπ map and Racah moments
Karmouni, H., Tahiri, M. A., Dagal, I., Amakdouf, H., Jamil, M. O., Qjidaa, H., & Sayyouri, M. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.121247 · Cited by 22
Metadata
- Authors
- Şenel, F. A., Gökçe, F., Yüksel, A. S., & Yiğit, T.
- Venue
- Engineering with Computers
- Published
- 2018-12-03
- Volume
- 35
- Issue
- 4
- Pages
- 1359-1373
- ISSN
- 0177-0667 (ISSN-L)
- 1435-5663
- OpenAlex
- W2903133439
- Cited by
- 298
- References
- 28
- FWCI
- 8.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Şenel, F. A., Gökçe, F., Yüksel, A. S., & Yiğit, T. (2019). A novel hybrid PSO–GWO algorithm for optimization problems. Engineering with Computers. https://doi.org/10.1007/s00366-018-0668-5
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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.
