The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Analysis of Particle Swarm Optimization Algorithm
Open accessAbstract
Particle swarm optimization is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. The algorithm is widely used and rapidly developed for its easy implementation and few particles required to be tuned. The main idea of the principle of PSO is presented; the advantages and the shortcomings are summarized. At last this paper presents some kinds of improved versions of PSO and research situation, and the future research issues are also given.
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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
A survey on moving object tracking using image processing
Balaji, S. R., & Karthikeyan, S. (2017) · 2017 11th International Conference on Intelligent Systems and Control (ISCO) · doi:10.1109/isco.2017.7856037 · Cited by 86
Metadata
- Authors
- Bai, Q.
- Venue
- Computer and Information Science
- Published
- 2010-01-15
- Volume
- 3
- Issue
- 1
- ISSN
- 1913-8989 (ISSN-L)
- 1913-8997
- OpenAlex
- W2033884996
- Cited by
- 724
- References
- 1
- FWCI
- 17.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Bai, Q. (2010). Analysis of Particle Swarm Optimization Algorithm. Computer and Information Science. https://doi.org/10.5539/cis.v3n1p180
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