The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion
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Citations
Cites
1 retracted
RETRACTED ARTICLE: Past present future: a new human-based algorithm for stochastic optimization
Naik, A., & Satapathy, S. C. (2021) · Soft Computing · doi:10.1007/s00500-021-06229-8 · Cited by 43
RetractedOptimization 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
The Whale Optimization Algorithm
Mirjalili, S., & Lewis, A. (2016) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2016.01.008 · Cited by 14,581
Genetic Programming: On the Programming of Computers by Means of Natural Selection
Koza, J. R. (1992) · Medical Entomology and Zoology · Cited by 13,082
Ant system: optimization by a colony of cooperating agents
Dorigo, M., Maniezzo, V., & Colorni, A. (1996) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/3477.484436 · Cited by 12,067
(1999) · Springer Series in Operations Research and Financial Engineering · doi:10.1007/b98874 · Cited by 9,482
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
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
A New Heuristic Optimization Algorithm: Harmony Search
Geem, Z. W., Kim, J. H., & Loganathan, G. V. (2001) · SIMULATION · doi:10.1177/003754970107600201 · Cited by 6,247
Cited by
AdaGuiDE: An adaptive and guided differential evolution for continuous optimization problems
Li, Z., & Tam, V. (2024) · Applied Intelligence · doi:10.1007/s10489-024-05675-9 · Cited by 8
Metadata
- Authors
- Abdel-Basset, M., Mohamed, R., Azeem, S. A. A., Jameel, M., & Abouhawwash, M.
- Venue
- Knowledge-Based Systems
- Publisher
- Elsevier BV
- Published
- 2023-05
- Volume
- 268
- Pages
- 110454
- ISSN
- 0950-7051 (ISSN-L)
- OpenAlex
- W4323922821
- Cited by
- 599
- References
- 89
- FWCI
- 52.62
- Type
- journal article
- Language
- en
- Open access
- closed
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- This page
- CoChat. (2026). Citation check: Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion. https://app.cochat.ai/papers/10.1016/j.knosys.2023.110454
- The paper
- Abdel-Basset, M., Mohamed, R., Azeem, S. A. A., Jameel, M., & Abouhawwash, M. (2023). Kepler optimization algorithm: A new metaheuristic algorithm inspired by Kepler’s laws of planetary motion. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2023.110454
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.
