The DOI matches its Crossref record.
Genetic Algorithms in Electromagnetics
Overview
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Citations
Cited by
Differential Evolution as Applied to Electromagnetics
Rocca, P., Oliveri, G., & Massa, A. (2011) · IEEE Antennas and Propagation Magazine · doi:10.1109/map.2011.5773566 · Cited by 580
The Wind Driven Optimization Technique and its Application in Electromagnetics
Bayraktar, Z., Komurcu, M., Bossard, J. A., & Werner, D. H. (2013) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2013.2238654 · Cited by 323
Self-citationBayesian Compressive Sampling for Pattern Synthesis With Maximally Sparse Non-Uniform Linear Arrays
Oliveri, G., & Massa, A. (2011) · IEEE Transactions on Antennas and Propagation · doi:10.1109/tap.2010.2096400 · Cited by 287
An efficient power scheduling scheme for residential load management in smart homes
Rasheed, M., Javaid, N., Ahmad, A., Khan, Z., Qasim, U., & Alrajeh, N. (2015) · Applied Sciences · doi:10.3390/app5041134 · Cited by 134
Metadata
- Authors
- Haupt, R. L., & Werner, D. H.
- Venue
- Wiley eBooks
- Publisher
- Wiley
- Published
- 2006-06-30
- OpenAlex
- W4298365035
- Cited by
- 545
- References
- 0
- FWCI
- 15.51
- Type
- book
- 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.
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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.