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Bat algorithm: literature review and applications
Open accessAbstract
Bat algorithm (BA) is a bio-inspired algorithm developed by Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the last 3 years. This paper provides a timely review of the bat algorithm and its new variants. A wide range of diverse applications and case studies are also reviewed and summarized briefly here. Further research topics are also discussed.
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Citations
Cited by
Rajwar, K., Deep, K., & Das, S. (2023) · Artificial Intelligence Review · doi:10.1007/s10462-023-10470-y · Cited by 687
Yang, X.-S. (2021) · Nature-Inspired Optimization Algorithms · doi:10.1016/b978-0-12-821986-7.00008-1 · Cited by 677
Self-citationBuilding an efficient intrusion detection system based on feature selection and ensemble classifier
Zhou, Y., Cheng, G., Jiang, S., & Dai, M. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107247 · Cited by 675
Bio-inspired computation: Where we stand and what's next
Del Ser, J., Osaba, E., Molina, D., Yang, X.-S., Salcedo-Sanz, S., Camacho, D., Das, S., Suganthan, P. N., Coello Coello, C. A., & Herrera, F. (2019) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2019.04.008 · Cited by 593
Self-citationBio inspired computing – A review of algorithms and scope of applications
Kar, A. K. (2016) · Expert Systems with Applications · doi:10.1016/j.eswa.2016.04.018 · Cited by 578
Metadata
- Authors
- Yang, X. S., & He, X.
- Venue
- International Journal of Bio-Inspired Computation
- Publisher
- Inderscience Publishers
- Published
- 2013
- Volume
- 5
- Issue
- 3
- Pages
- 141
- ISSN
- 1758-0366 (ISSN-L)
- 1758-0374
- OpenAlex
- W2143978378
- Cited by
- 1,052
- References
- 0
- FWCI
- 62.58
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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