The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
A swarm optimization algorithm inspired in the behavior of the social-spider
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Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks · doi:10.1109/icnn.1995.488968 · Cited by 58,192
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
Particle swarm optimization: An overview
Poli, R., Kennedy, J., & Blackwell, T. (2007) · Swarm Intelligence · doi:10.1007/s11721-007-0002-0 · Cited by 21,101
Individual Comparisons by Ranking Methods
Wilcoxon, F. (1945) · Biometrics Bulletin · doi:10.2307/3001968 · Cited by 15,354
Swarm Intelligence: From Natural to Artificial Systems
Bonabeau, E., Dorigo, M., & Theraulaz, G. (1999) · Oxford University Press eBooks · doi:10.1093/oso/9780195131581.001.0001 · Cited by 6,435
(2019) · Handbook of Machine Learning · doi:10.1142/9789811205675_0004 · Cited by 6,270
AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
Karaboğa, D. (2005) · Cited by 5,466
Nature-Inspired Metaheuristic Algorithms
Yang, X. (2008) · Medical Entomology and Zoology · Cited by 4,556
A comparative study of Artificial Bee Colony algorithm
Karaboga, D., & Akay, B. (2009) · Applied Mathematics and Computation · doi:10.1016/j.amc.2009.03.090 · Cited by 3,206
Biomimicry of bacterial foraging for distributed optimization and control
(2002) · IEEE Control Systems · doi:10.1109/mcs.2002.1004010 · Cited by 3,069
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Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications
Zhao, W., Zhang, Z., & Wang, L. (2020) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2019.103300 · Cited by 1,080
Golden jackal optimization: A novel nature-inspired optimizer for engineering applications
Chopra, N., & Mohsin Ansari, M. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.116924 · Cited by 892
Atom 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
Aziz, M. A. E., Ewees, A. A., & Hassanien, A. E. (2017) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.04.023 · Cited by 560
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
Metadata
- Authors
- Cuevas, E., Cienfuegos, M., Zaldívar, D., & Pérez-Cisneros, M.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 40
- Issue
- 16
- Pages
- 6374-6384
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2060621627
- Cited by
- 573
- References
- 33
- FWCI
- 26.14
- Type
- journal article
- Language
- en
- Open access
- green
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- Cuevas, E., Cienfuegos, M., Zaldívar, D., & Pérez-Cisneros, M. (2013). A swarm optimization algorithm inspired in the behavior of the social-spider. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2013.05.041
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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.
