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Comparing inertia weights and constriction factors in particle swarm optimization
Abstract
The performance of particle swarm optimization using an inertia weight is compared with performance using a constriction factor. Five benchmark functions are used for the comparison. It is concluded that the best approach is to use the constriction factor while limiting the maximum velocity Vmax to the dynamic range of the variable Xmax on each dimension. This approach provides performance on the benchmark functions superior to any other published results known by the authors.
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Citations
Cited by
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
Particle swarm optimization algorithm: An overview
Wang, D., Tan, D., & Liu, L. (2018) · Soft Computing · doi:10.1007/s00500-016-2474-6 · Cited by 3,343
Crystal structure prediction via particle-swarm optimization
Wang, Y., Lv, J., Zhu, L., & Ma, Y. (2010) · Physical Review B · doi:10.1103/physrevb.82.094116 · Cited by 2,747
A Cooperative Approach to Particle Swarm Optimization
vandenBergh, F., & Engelbrecht, A. P. (2004) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2004.826069 · Cited by 2,120
Das, S., Abraham, A., & Konar, A. (2008) · Studies in Computational Intelligence · doi:10.1007/978-3-540-78297-1_1 · Cited by 429
Metadata
- Authors
- Eberhart, R. C., & Shi, Y.
- Venue
- Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512)
- Publisher
- IEEE
- Published
- 2002-11-07
- Volume
- 1
- Pages
- 84-88
- OpenAlex
- W1875348914
- Cited by
- 2,966
- References
- 0
- FWCI
- 28.00
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Eberhart, R. C., & Shi, Y. (2002). Comparing inertia weights and constriction factors in particle swarm optimization. Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512). https://doi.org/10.1109/cec.2000.870279
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