The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Particle swarm optimization with particles having quantum behavior
Abstract
In this paper, inspired by the analysis of convergence of PSO, we study the individual particle of a PSO system moving in a quantum multidimensional space and establish a quantum delta potential well model for PSO. After that, a trial method of parameter control and QDPSO is proposed. The experiment result shows much advantage of QDPSO to the traditional PSO.
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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
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
Empirical study of particle swarm optimization
Shi, Y., & Eberhart, R. C. (2003) · Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) · doi:10.1109/cec.1999.785511 · Cited by 3,945
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
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
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
Fuzzy adaptive particle swarm optimization
Shi, Y., & Eberhart, R. C. (2002) · Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546) · doi:10.1109/cec.2001.934377 · Cited by 1,071
Kennedy, J. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0040809 · Cited by 318
Cited by
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
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
Major Advances in Particle Swarm Optimization: Theory, Analysis, and Application
Houssein, E. H., Gad, A. G., Hussain, K., & Suganthan, P. N. (2021) · Swarm and Evolutionary Computation · doi:10.1016/j.swevo.2021.100868 · Cited by 466
RetractedSun, J., Fang, W., Wu, X., Palade, V., & Xu, W. (2012) · Evolutionary Computation · doi:10.1162/evco_a_00049 · Cited by 396
Self-citationFu, Y., Ding, M., & Zhou, C. (2012) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/tsmca.2011.2159586 · Cited by 256
Metadata
- Authors
- Sun, J., Feng, B., & Xu, W.
- Venue
- Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)
- Publisher
- IEEE
- Published
- 2004-09-28
- Pages
- 325-331
- OpenAlex
- W1566399673
- Cited by
- 1,249
- References
- 9
- FWCI
- 11.93
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Sun, J., Feng, B., & Xu, W. (2004). Particle swarm optimization with particles having quantum behavior. Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753). https://doi.org/10.1109/cec.2004.1330875
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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.
