The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Particle swarm optimization: Hybridization perspectives and experimental illustrations
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Cites
Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks · doi:10.1109/icnn.1995.488968 · Cited by 58,192
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
Genetic Algorithms in Search, Optimization and Machine Learning
Goldberg, D. E., & Robson, D. (1988) · Cited by 18,391
A modified particle swarm optimizer
Shi, Y., & Eberhart, R. (2002) · 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360) · doi:10.1109/icec.1998.699146 · Cited by 10,229
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
Clerc, M., & Kennedy, J. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.985692 · Cited by 9,017
(2019) · Handbook of Machine Learning · doi:10.1142/9789811205675_0004 · Cited by 6,270
Particle swarm optimization: developments, applications and resources
Eberhart, & Shi, Y. (2001) · Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546) · doi:10.1109/cec.2001.934374 · Cited by 4,310
Cited by
Backtracking Search Optimization Algorithm for numerical optimization problems
Civicioglu, P. (2013) · Applied Mathematics and Computation · doi:10.1016/j.amc.2013.02.017 · Cited by 1,018
A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning
Qu, C., Gai, W., Zhang, J., & Zhong, M. (2020) · Knowledge-Based Systems · doi:10.1016/j.knosys.2020.105530 · Cited by 282
Metadata
- Authors
- Thangaraj, R., Pant, M., Abraham, A., & Bouvry, P.
- Venue
- Applied Mathematics and Computation
- Publisher
- Elsevier BV
- Published
- 2011-02
- Volume
- 217
- Issue
- 12
- Pages
- 5208-5226
- ISSN
- 0096-3003 (ISSN-L)
- OpenAlex
- W2168556168
- Cited by
- 264
- References
- 60
- FWCI
- 14.62
- Type
- journal article
- Language
- en
- Open access
- closed
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- Thangaraj, R., Pant, M., Abraham, A., & Bouvry, P. (2011). Particle swarm optimization: Hybridization perspectives and experimental illustrations. Applied Mathematics and Computation. https://doi.org/10.1016/j.amc.2010.12.053
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.
