The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
A review of particle swarm optimization and its applications in Solar Photovoltaic system
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
Kennedy, J., & Eberhart, R. (2002) · Proceedings of ICNN'95 - International Conference on Neural Networks · doi:10.1109/icnn.1995.488968 · Cited by 58,192
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
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
Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients
Ratnaweera, A., Halgamuge, S. K., & Watson, H. C. (2004) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2004.826071 · Cited by 3,034
The swarm and the queen: towards a deterministic and adaptive particle swarm optimization
Clerc, M. (2003) · Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) · doi:10.1109/cec.1999.785513 · Cited by 1,692
A Comparison of Particle Swarm Optimization and the Genetic Algorithm
Hassan, R., Cohanim, B., de Weck, O., & Venter, G. (2005) · 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference · doi:10.2514/6.2005-1897 · Cited by 1,198
Ishaque, K., Salam, Z., Amjad, M., & Mekhilef, S. (2012) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2012.2185713 · Cited by 1,074
Maximum Power Point Tracking of Multiple Photovoltaic Arrays: A PSO Approach
Miyatake, M., Veerachary, M., Toriumi, F., Fujii, N., & Ko, H. (2011) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2011.5705681 · Cited by 583
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
Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems
Joseph, S. B., Dada, E. G., Abidemi, A., Oyewola, D. O., & Khammas, B. M. (2022) · Heliyon · doi:10.1016/j.heliyon.2022.e09399 · Cited by 458
Maximum power point tracking (MPPT) techniques: Recapitulation in solar photovoltaic systems
Verma, D., Nema, S., Shandilya, A. M., & Dash, S. K. (2016) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.10.068 · Cited by 420
Fodhil, F., Hamidat, A., & Nadjemi, O. (2019) · Energy · doi:10.1016/j.energy.2018.12.049 · Cited by 292
Liu, Z., Sun, Y., Xing, C., Liu, J., He, Y., Zhou, Y., & Zhang, G. (2022) · Energy and AI · doi:10.1016/j.egyai.2022.100195 · Cited by 288
Metadata
- Authors
- Khare, A., & Rangnekar, S.
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 13
- Issue
- 5
- Pages
- 2997-3006
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W194202718
- Cited by
- 366
- References
- 43
- FWCI
- 19.31
- Type
- journal article
- 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: A review of particle swarm optimization and its applications in Solar Photovoltaic system. https://app.cochat.ai/papers/10.1016/j.asoc.2012.11.033
- The paper
- Khare, A., & Rangnekar, S. (2013). A review of particle swarm optimization and its applications in Solar Photovoltaic system. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2012.11.033
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.
