The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Recent advances in particle swarm
Abstract
This paper reviews the development of the particle swarm optimization method in recent years. Included are brief discussions of various parameters. Modifications to adapt to different and complex environments are reviewed, and real world applications are listed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Self-citation
Cited by
Economic Allocation for Energy Storage System Considering Wind Power Distribution
Wen, S., Lan, H., Fu, Q., Yu, D. C., & Zhang, L. (2015) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2014.2337936 · Cited by 287
Aboelela, M. A. S., & Hennas, R. H. M. (2018) · Fractional Order Systems · doi:10.1016/b978-0-12-816152-4.00017-0 · Cited by 9
Metadata
- Authors
- Hu, X., Shi, Y., & Eberhart, R.
- Venue
- Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)
- Publisher
- IEEE
- Published
- 2004-09-28
- Pages
- 90-97
- OpenAlex
- W1561764088
- Cited by
- 466
- References
- 1
- FWCI
- 13.23
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Recent advances in particle swarm. https://app.cochat.ai/papers/10.1109/cec.2004.1330842
- The paper
- Hu, X., Shi, Y., & Eberhart, R. (2004). Recent advances in particle swarm. Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753). https://doi.org/10.1109/cec.2004.1330842
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.