- Published
- 2021-11-05
- Venue
- Expert Systems with Applications, vol. 191, pp. 116158
- Cited by
- 1,436
- Open access
- No free copy found
- DOI
- 10.1016/j.eswa.2021.116158
Cite this paper
Formatted from the source metadata, not typed by hand. For a whole reference list, use the citation generator or ask your assistant through Find Research.
- APA 7
Abualigah, L., Elaziz, M. A., Sumari, P., Geem, Z. W., & Gandomi, A. H. (2021). Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer. Expert Systems with Applications, 191, 116158. https://doi.org/10.1016/j.eswa.2021.116158
- MLA 9
Abualigah, Laith, et al. "Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer." Expert Systems with Applications, vol. 191, 2021, pp. 116158, https://doi.org/10.1016/j.eswa.2021.116158.
- Chicago
Abualigah, Laith, Mohamed Abd Elaziz, Putra Sumari, Zong Woo Geem, and Amir H. Gandomi. "Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer." Expert Systems with Applications 191 (2021): 116158. https://doi.org/10.1016/j.eswa.2021.116158.
- GOST
Abualigah L., Elaziz M. A., Sumari P. [и др.] Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer // Expert Systems with Applications. — 2021. — Vol. 191. — P. 116158. — URL: https://doi.org/10.1016/j.eswa.2021.116158
- BibTeX
@article{abualigah2021reptile, title = {{Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer}}, author = {Laith Abualigah and Mohamed Abd Elaziz and Putra Sumari and Zong Woo Geem and Amir H. Gandomi}, journal = {Expert Systems with Applications}, year = {2021}, volume = {191}, pages = {116158}, doi = {10.1016/j.eswa.2021.116158}, url = {https://doi.org/10.1016/j.eswa.2021.116158} }- RIS
TY - JOUR AU - Abualigah, Laith AU - Elaziz, Mohamed Abd AU - Sumari, Putra AU - Geem, Zong Woo AU - Gandomi, Amir H. TI - Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer JO - Expert Systems with Applications VL - 191 SP - 116158 PY - 2021 DA - 2021/11/05 DO - 10.1016/j.eswa.2021.116158 UR - https://doi.org/10.1016/j.eswa.2021.116158 ER -