The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Survey of Particle Swarm Optimization Applications in Electric Power Systems
Abstract
Particle swarm optimization (PSO) has received increased attention in many research fields recently. This paper presents a comprehensive coverage of different PSO applications in solving optimization problems in the area of electric power systems. It highlights the PSO key features and advantages over other various optimization algorithms. Furthermore, recent trends with regard to PSO development in this area are explored. This paper also discusses PSO possible future applications in the area of electric power systems and its potential theoretical studies.
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Cites
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
Cited by
Differential Evolution: A Survey of the State-of-the-Art
Das, S., & Suganthan, P. N. (2011) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2010.2059031 · Cited by 5,307
Wang, L., Wang, Z., & Yang, R. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2178044 · Cited by 235
Merrikh-Bayat, F. (2015) · Applied Soft Computing · doi:10.1016/j.asoc.2015.04.048 · Cited by 134
Metadata
- Authors
- AlRashidi, M. R., & El-Hawary, M. E.
- Venue
- IEEE Transactions on Evolutionary Computation
- Published
- 2009-08
- Volume
- 13
- Issue
- 4
- Pages
- 913-918
- ISSN
- 1089-778X (ISSN-L)
- 1941-0026
- OpenAlex
- W2143451729
- Cited by
- 720
- References
- 1
- FWCI
- 56.74
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
