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Practical genetic algorithms
Overview
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Citations
Cited by
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification
Sun, Y., Xue, B., Zhang, M., Yen, G. G., & Lv, J. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2983860 · Cited by 870
GA: A Package for Genetic Algorithms in R
Scrucca, L. (2013) · Journal of Statistical Software · doi:10.18637/jss.v053.i04 · Cited by 837
DL-FIND: An Open-Source Geometry Optimizer for Atomistic Simulations
Kästner, J., Carr, J. M., Keal, T. W., Thiel, W., Wander, A., & Sherwood, P. (2009) · The Journal of Physical Chemistry A · doi:10.1021/jp9028968 · Cited by 658
The application of artificial neural networks to the analysis of remotely sensed data
Mas, J. F., & Flores, J. J. (2008) · International Journal of Remote Sensing · doi:10.1080/01431160701352154 · Cited by 616
Genetic algorithm optimization for focusing through turbid media in noisy environments
Conkey, D. B., Brown, A. N., Caravaca-Aguirre, A. M., & Piestun, R. (2012) · Optics Express · doi:10.1364/oe.20.004840 · Cited by 422
Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1998-06-01
- Volume
- 35
- Issue
- 10
- Pages
- 35-5711-35-5711
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W4300939951
- Cited by
- 1,408
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Practical genetic algorithms. https://app.cochat.ai/papers/10.5860/choice.35-5711
- The paper
- Practical genetic algorithms. (1998). Choice Reviews Online. https://doi.org/10.5860/choice.35-5711
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.
