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Cited by 1,013

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Tracking and optimizing dynamic systems with particle swarms

Eberhart, R.C., Yuhui Shi·2002·Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546)
DOI 10.1109/cec.2001.934376
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Abstract

Using particle swarms to track and optimize dynamic systems is described. Issues related to tracking and optimizing dynamic systems are briefly reviewed. Three kinds of dynamic systems are defined for the purposes of this paper. One of them is chosen for preliminary analysis using the particle swarm on the parabolic benchmark function. Successful tracking of a 10-dimensional parabolic function with a severity of up to 1.0 is demonstrated. A number of issues related to tracking and optimizing dynamic systems with particle swarms are identified. Directions for future research and applications are suggested.

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Metadata

Authors
Eberhart, R. C., & Shi, Y.
Venue
Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546)
Publisher
IEEE
Published
2002-11-13
Volume
1
Pages
94-100
DOI
10.1109/cec.2001.934376
OpenAlex
W1835176610
Cited by
1,013
References
0
FWCI
13.32
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tracking and optimizing dynamic systems with particle swarms. https://app.cochat.ai/papers/10.1109/cec.2001.934376
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Eberhart, R. C., & Shi, Y. (2002). Tracking and optimizing dynamic systems with particle swarms. Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546). https://doi.org/10.1109/cec.2001.934376

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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.