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Comparison among five evolutionary-based optimization algorithms
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Cited by
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BGSA: binary gravitational search algorithm
Rashedi, E., Nezamabadi-pour, H., & Saryazdi, S. (2010) · Natural Computing · doi:10.1007/s11047-009-9175-3 · Cited by 733
Application of deep learning algorithms in geotechnical engineering: a short critical review
Zhang, W., Li, H., Li, Y., Liu, H., Chen, Y., & Ding, X. (2021) · Artificial Intelligence Review · doi:10.1007/s10462-021-09967-1 · Cited by 538
A Multi-Facet Survey on Memetic Computation
Chen, X., Ong, Y.-S., Lim, M.-H., & Tan, K. C. (2011) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2011.2132725 · Cited by 512
Artificial Intelligence techniques: An introduction to their use for modelling environmental systems
Chen, S. H., Jakeman, A. J., & Norton, J. P. (2008) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2008.01.028 · Cited by 323
Metadata
- Authors
- Elbeltagi, E., Hegazy, T., & Grierson, D.
- Venue
- Advanced Engineering Informatics
- Publisher
- Elsevier BV
- Published
- 2005-01
- Volume
- 19
- Issue
- 1
- Pages
- 43-53
- ISSN
- 1474-0346 (ISSN-L)
- OpenAlex
- W2124823351
- Cited by
- 1,284
- References
- 0
- FWCI
- 36.76
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Comparison among five evolutionary-based optimization algorithms. https://app.cochat.ai/papers/10.1016/j.aei.2005.01.004
- The paper
- Elbeltagi, E., Hegazy, T., & Grierson, D. (2005). Comparison among five evolutionary-based optimization algorithms. Advanced Engineering Informatics. https://doi.org/10.1016/j.aei.2005.01.004
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.
