The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
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Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
A new optimizer using particle swarm theory
Eberhart, R., & Kennedy, J. (2002) · MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science · doi:10.1109/mhs.1995.494215 · Cited by 16,067
No free lunch theorems for optimization
Wolpert, D. H., & Macready, W. G. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585893 · Cited by 14,237
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Zhang, Q., & Li, H. (2007) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2007.892759 · Cited by 10,069
Genetic Algorithms and Machine Learning
Goldberg, D. E., & Holland, J. H. (1988) · Machine Learning · doi:10.1023/a:1022602019183 · Cited by 3,193
Cited by
Mirjalili, S. (2019) · Studies in computational intelligence · doi:10.1007/978-3-319-93025-1_4 · Cited by 1,737
Self-citationAtom search optimization and its application to solve a hydrogeologic parameter estimation problem
Zhao, W., Wang, L., & Zhang, Z. (2019) · Knowledge-Based Systems · doi:10.1016/j.knosys.2018.08.030 · Cited by 699
A survey on river water quality modelling using artificial intelligence models: 2000–2020
Tiyasha, Tung, T. M., & Yaseen, Z. M. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.124670 · Cited by 650
Artificial ecosystem-based optimization: a novel nature-inspired meta-heuristic algorithm
Zhao, W., Wang, L., & Zhang, Z. (2020) · Neural Computing and Applications · doi:10.1007/s00521-019-04452-x · Cited by 499
Mapping the landscape of Artificial Intelligence applications against COVID-19
Bullock, J., Luccioni, A., Hoffman Pham, K., Sin Nga Lam, C., & Luengo-Oroz, M. (2020) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.12162 · Cited by 348
Metadata
- Authors
- Mirjalili, S., Gandomi, A. H., Mirjalili, S. Z., Saremi, S., Faris, H., & Mirjalili, S. M.
- Venue
- Advances in Engineering Software
- Publisher
- Elsevier BV
- Published
- 2017-12
- Volume
- 114
- Pages
- 163-191
- ISSN
- 0965-9978 (ISSN-L)
- OpenAlex
- W2738900493
- Cited by
- 5,082
- References
- 6
- FWCI
- 154.32
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Mirjalili, S., Gandomi, A. H., Mirjalili, S. Z., Saremi, S., Faris, H., & Mirjalili, S. M. (2017). Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems. Advances in Engineering Software. https://doi.org/10.1016/j.advengsoft.2017.07.002
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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.