The DOI matches its OpenAlex record; 10 of the 10 references it cites were found in a registry or an index.
Particle Swarm Optimization and Intelligence: Advances and Applications
Open accessOverview
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
Neural Networks and Fuzzy Systems
Kosko, B., & Burgess, J. C. (1998) · The Journal of the Acoustical Society of America · doi:10.1121/1.423096 · Cited by 2,356
A Hybrid of Genetic Algorithm and Particle Swarm Optimization for Recurrent Network Design
Juang, C.-F. (2004) · IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2003.818557 · Cited by 964
Kosko, B. (1996) · Cited by 881
A fuzzy cognitive map approach to differential diagnosis of specific language impairment
Georgopoulos, V. C., Malandraki, G. A., & Stylios, C. D. (2003) · Artificial Intelligence in Medicine · doi:10.1016/s0933-3657(02)00076-3 · Cited by 212
Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization
Papageorgiou, E. I., Parsopoulos, K. E., Stylios, C. S., Groumpos, P. P., & Vrahatis, M. N. (2005) · Journal of Intelligent Information Systems · doi:10.1007/s10844-005-0864-9 · Cited by 186
Self-citationKoulouriotis, D. E., Diakoulakis, I. E., & Emiris, D. M. (2002) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec.2001.934413 · Cited by 132
Modelling supervisory control systems using fuzzy cognitive maps
Groumpos, P. P., & Stylios, C. D. (2000) · Chaos Solitons & Fractals · doi:10.1016/s0960-0779(98)00303-8 · Cited by 118
Lu, J. W. Z., Fan, H., Leung, A. Y. T., & Wong, J. C. K. (2002) · Environmental Monitoring and Assessment · doi:10.1023/a:1020274409612 · Cited by 81
Global optimization algorithms for training product unit neural networks
Ismail, A., & Engelbrecht, A. P. (2000) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2000.857826 · Cited by 71
Evolutionary Computation Techniques for Optimizing Fuzzy Cognitive Maps in Radiation Therapy Systems
Parsopoulos, K. E., Papageorgiou, E. I., Groumpos, P. P., & Vrahatis, M. N. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24854-5_41 · Cited by 38
Self-citation
Cited by
A novel SVM-kNN-PSO ensemble method for intrusion detection system
Aburomman, A. A., & Ibne Reaz, M. B. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2015.10.011 · Cited by 490
No Free Lunch Theorem: A Review
Adam, S. P., Alexandropoulos, S.-A. N., Pardalos, P. M., & Vrahatis, M. N. (2019) · Springer Optimization and Its Applications · doi:10.1007/978-3-030-12767-1_5 · Cited by 401
Self-citationImproved accelerated PSO algorithm for mechanical engineering optimization problems
Ben Guedria, N. (2016) · Applied Soft Computing · doi:10.1016/j.asoc.2015.10.048 · Cited by 265
Data preprocessing in predictive data mining
Alexandropoulos, S.-A. N., Kotsiantis, S. B., & Vrahatis, M. N. (2019) · The Knowledge Engineering Review · doi:10.1017/s026988891800036x · Cited by 209
Self-citationAllocating Power and Bandwidth in Multibeam Satellite Systems using Particle Swarm Optimization
Pachler, N., Luis, J. J. G., Guerster, M., Crawley, E., & Cameron, B. (2020) · 2020 IEEE Aerospace Conference · doi:10.1109/aero47225.2020.9172694 · Cited by 51
Metadata
- Authors
- Parsopoulos, K. E., & Vrahatis, M. N.
- Published
- 2010-01-01
- OpenAlex
- W2163199665
- Cited by
- 371
- References
- 10
- FWCI
- 35.71
- Type
- journal article
- Language
- en
- Open access
- gold
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: Particle Swarm Optimization and Intelligence: Advances and Applications. https://app.cochat.ai/papers/10.13140/2.1.3681.1206
- The paper
- Parsopoulos, K. E., & Vrahatis, M. N. (2010). Particle Swarm Optimization and Intelligence: Advances and Applications. https://doi.org/10.13140/2.1.3681.1206
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.
