The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Taxonomy of Global Optimization Methods Based on Response Surfaces
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Citations
Cites
Efficient Global Optimization of Expensive Black-Box Functions
Jones, D. R., Schonlau, M., & Welch, W. J. (1998) · Journal of Global Optimization · doi:10.1023/a:1008306431147 · Cited by 8,070
Self-citation
Cited by
Gaussian Processes for Machine Learning
Rasmussen, C. E., & Williams, C. K. I. (2005) · doi:10.7551/mitpress/3206.001.0001 · Cited by 11,705
“Jones [2001] examines a number of criteria that have been suggested for where to make the next function evaluation based on the predictive mean and variance.”
Practical Bayesian Optimization of Machine Learning Algorithms
Snoek, J., Larochelle, H., & Adams, R. P. (2012) · arXiv · doi:10.48550/arxiv.1206.2944 · Cited by 6,691
(2011) · Cited by 3,939
Recent advances in surrogate-based optimization
Forrester, A. I. J., & Keane, A. J. (2009) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2008.11.001 · Cited by 2,357
Engineering Design via Surrogate Modelling: A Practical Guide
Forrester, A. I. J., Sóbester, A., & Keane, A. J. (2008) · doi:10.1002/9780470770801 · Cited by 2,309
Metadata
- Authors
- Jones, D. R.
- Venue
- Journal of Global Optimization
- Published
- 2001-12
- Volume
- 21
- Issue
- 4
- Pages
- 345-383
- ISSN
- 0925-5001 (ISSN-L)
- 1573-2916
- OpenAlex
- W2151238122
- Cited by
- 2,159
- References
- 1
- FWCI
- 14.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Jones, D. R. (2001). A Taxonomy of Global Optimization Methods Based on Response Surfaces. Journal of Global Optimization. https://doi.org/10.1023/a%3A1012771025575
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.
