The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
A dynamic inertia weight particle swarm optimization algorithm
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Cites
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
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
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
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
Parameter selection in particle swarm optimization
Shi, Y., & Eberhart, R. C. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0040810 · Cited by 3,538
The particle swarm optimization algorithm: convergence analysis and parameter selection
Trelea, I. C. (2003) · Information Processing Letters · doi:10.1016/s0020-0190(02)00447-7 · Cited by 2,644
Comparison between genetic algorithms and particle swarm optimization
Eberhart, R. C., & Shi, Y. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0040812 · Cited by 1,610
Population structure and particle swarm performance
Kennedy, J., & Mendes, R. (2003) · Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600) · doi:10.1109/cec.2002.1004493 · Cited by 1,586
The particle swarm: social adaptation of knowledge
Kennedy, J. (2002) · Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97) · doi:10.1109/icec.1997.592326 · Cited by 1,555
Cited by
Particle Swarm Optimization: A Comprehensive Survey
Shami, T. M., El-Saleh, A. A., Alswaitti, M., Al-Tashi, Q., Summakieh, M. A., & Mirjalili, S. (2022) · IEEE Access · doi:10.1109/access.2022.3142859 · Cited by 1,584
An Overview of Variants and Advancements of PSO Algorithm
Jain, M., Saihjpal, V., Singh, N., & Singh, S. B. (2022) · Applied Sciences · doi:10.3390/app12178392 · Cited by 717
MPSO: Modified particle swarm optimization and its applications
Tian, D., & Shi, Z. (2018) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2018.01.011 · Cited by 363
Metadata
- Authors
- Jiao, B., Lian, Z., & Gu, X.
- Venue
- Chaos, Solitons & Fractals
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 37
- Issue
- 3
- Pages
- 698-705
- ISSN
- 0960-0779 (ISSN-L)
- OpenAlex
- W2018700453
- Cited by
- 272
- References
- 19
- FWCI
- 8.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Jiao, B., Lian, Z., & Gu, X. (2008). A dynamic inertia weight particle swarm optimization algorithm. Chaos, Solitons & Fractals. https://doi.org/10.1016/j.chaos.2006.09.063
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.
