The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Comparison between genetic algorithms and particle swarm optimization
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
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,010
Particle swarm optimization: An overview
Poli, R., Kennedy, J., & Blackwell, T. (2007) · Swarm Intelligence · doi:10.1007/s11721-007-0002-0 · Cited by 21,101
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-citationGenetic Programming: On the Programming of Computers by Means of Natural Selection
Koza, J. R. (1992) · Medical Entomology and Zoology · Cited by 13,082
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
Self-citationGoldberg, D. E. (1989) · Medical Entomology and Zoology · Cited by 10,109
Handbook of Genetic Algorithms
Davis, L. D. (1991) · Cumulative Index of Computer Aided Architectural Design · Cited by 7,330
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-citationThe 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
Computational intelligence PC tools
Eberhart, R., Simpson, P., & Dobbins, R. W. (1996) · Medical Entomology and Zoology · Cited by 676
Self-citation
Cited by
The particle swarm optimization algorithm: convergence analysis and parameter selection
Trelea, I. C. (2003) · Information Processing Letters · doi:10.1016/s0020-0190(02)00447-7 · Cited by 2,644
Clerc, M. (2006) · Wiley eBooks · doi:10.1002/9780470612163 · Cited by 1,622
Multi-Objective Particle Swarm Optimizers: A Survey of the State-of-the-Art
Coello Coello, C. A., & Reyes-Sierra, M. (2006) · International Journal of Computational Intelligence Research · doi:10.5019/j.ijcir.2006.68 · Cited by 1,365
Feurer, M., & Hutter, F. (2019) · The Springer Series on Challenges in Machine Learning · doi:10.1007/978-3-030-05318-5_1 · Cited by 1,414
Particle swarm optimization with particles having quantum behavior
Sun, J., Feng, B., & Xu, W. (2004) · Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) · doi:10.1109/cec.2004.1330875 · Cited by 1,249
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
Self-citationDas, D. C., Roy, A. K., & Sinha, N. (2012) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2012.05.025 · Cited by 522
The particle swarm optimization algorithm in size and shape optimization
Fourie, P. C., & Groenwold, A. A. (2002) · Structural and Multidisciplinary Optimization · doi:10.1007/s00158-002-0188-0 · Cited by 494
A Swarm Metaphor for Multiobjective Design Optimization
Ray, T., & Liew, K. M. (2002) · Engineering Optimization · doi:10.1080/03052150210915 · Cited by 431
Two improved differential evolution schemes for faster global search
Das, S., Konar, A., & Chakraborty, U. K. (2005) · Proceedings of the 7th annual conference on Genetic and evolutionary computation · doi:10.1145/1068009.1068177 · Cited by 369
Adaptive particle swarm optimization approach for static and dynamic economic load dispatch
Panigrahi, B. K., Ravikumar Pandi, V., & Das, S. (2008) · Energy Conversion and Management · doi:10.1016/j.enconman.2007.12.023 · Cited by 364
Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements
Zambrano-Bigiarini, M., Clerc, M., & Rojas, R. (2013) · 2013 IEEE Congress on Evolutionary Computation · doi:10.1109/cec.2013.6557848 · Cited by 317
Sequential Parameter Optimization
Bartz-Beielstein, T., Lasarczyk, C. W. G., & Preuss, M. (2005) · 2005 IEEE Congress on Evolutionary Computation · doi:10.1109/cec.2005.1554761 · Cited by 300
Yin, Z., Jin, Y., Shen, J. S., & Hicher, P. (2018) · International Journal for Numerical and Analytical Methods in Geomechanics · doi:10.1002/nag.2714 · Cited by 282
An efficient method for segmentation of images based on fractional calculus and natural selection
Ghamisi, P., Couceiro, M. S., Benediktsson, J. A., & Ferreira, N. M. F. (2012) · Expert Systems with Applications · doi:10.1016/j.eswa.2012.04.078 · Cited by 279
A dynamic inertia weight particle swarm optimization algorithm
Jiao, B., Lian, Z., & Gu, X. (2008) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2006.09.063 · Cited by 272
Particle swarm optimization: Hybridization perspectives and experimental illustrations
Thangaraj, R., Pant, M., Abraham, A., & Bouvry, P. (2011) · Applied Mathematics and Computation · doi:10.1016/j.amc.2010.12.053 · Cited by 264
Fu, 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
A survey on path planning for persistent autonomy of autonomous underwater vehicles
Zeng, Z., Lian, L., Sammut, K., He, F., Tang, Y., & Lammas, A. (2015) · Ocean Engineering · doi:10.1016/j.oceaneng.2015.10.007 · Cited by 256
Fang, C., Liu, X., Pardalos, P. M., & Pei, J. (2016) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-015-7593-1 · Cited by 102
Metadata
- Authors
- Eberhart, R. C., & Shi, Y.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1998
- Pages
- 611-616
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1925428099
- Cited by
- 1,610
- References
- 11
- FWCI
- 1.91
- 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
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.
