The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Shuffled complex evolution approach for effective and efficient global minimization
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Citations
Cites
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
Stochastic global optimization methods part I: Clustering methods
Rinnooy Kan, A. H. G., & Timmer, G. T. (1987) · Mathematical Programming · doi:10.1007/bf02592070 · Cited by 463
Cited by
Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations
Moriasi, D. N., Arnold, J. G., Liew, M. W. V., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007) · Transactions of the ASABE · doi:10.13031/2013.23153 · Cited by 13,446
Effective and efficient global optimization for conceptual rainfall‐runoff models
Duan, Q., Sorooshian, S., & Gupta, V. (1992) · Water Resources Research · doi:10.1029/91wr02985 · Cited by 3,310
Self-citationRainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
(2018) · doi:10.5194/hess-22-6005-2018 · Cited by 2,114
Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning
Kratzert, F., Klotz, D., Herrnegger, M., Sampson, A. K., Hochreiter, S., & Nearing, G. S. (2019) · Water Resources Research · doi:10.1029/2019wr026065 · Cited by 990
Hong, Y., Hsu, K.-L., Sorooshian, S., & Gao, X. (2004) · Journal of Applied Meteorology · doi:10.1175/jam2173.1 · Cited by 851
Self-citation
Metadata
- Authors
- Duan, Q. Y., Gupta, V. K., & Sorooshian, S.
- Venue
- Journal of Optimization Theory and Applications
- Published
- 1993-03
- Volume
- 76
- Issue
- 3
- Pages
- 501-521
- ISSN
- 0022-3239 (ISSN-L)
- 1573-2878
- OpenAlex
- W1999310382
- Cited by
- 1,722
- References
- 2
- FWCI
- 3.95
- Type
- journal article
- 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.
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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.
