The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Efficient Global Optimization of Expensive Black-Box Functions
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“These non-linear models encompass non-parametric (KNN), kernel-based (KRR, SVR and GP) and tree-ensemble (RFR, XGB and ETR) approaches, enabling a comprehensive comparison34,35,47.”
From Data-driven de novo design of super-adhesive hydrogels (2025) · cites this paper as [47]
Citations
Cites
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McKay, M. D., Beckman, R. J., & Conover, W. J. (1979) · Technometrics · doi:10.1080/00401706.1979.10489755 · Cited by 7,463
Design and Analysis of Computer Experiments
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Self-citationAddelman, S., Box, G. E. P., Hunter, W. G., & Hunter, J. S. (1979) · Technometrics · doi:10.2307/1267766 · Cited by 6,753
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5. Statistics for Spatial Data
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Flagged first, then by citations
Research works printed but not linked: 4
- Dixon, L. C. W. and Szego, G. P. (1978), The global optimisation problem: an introduction, in L. C. W. Dixon and G. P. Szego (eds.), Towards Global Optimisation, Vol. 2, pp. 1–15. North Holland, Amsterdam.
- d optimization when probes are expensive: the GROPE algorithm. Proceedings of the 1992 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 1, pp. 577-582, Chicago.
- Mockus, J., Tiesis, V. and Zilinskas, A. (1978), The application of Bayesian methods for seeking the extremum, in L. C. W. Dixon and G. P. Szego (eds.), Towards Global Optimisation, Vol.2, pp. 117–129. North Holland, Amsterdam.
- Sacks, J. and Ylvisaker, D. (1970), Statistical designs and integral approximation, in R. Pyke (ed.), Proceedings of the Twelfth Biennial Seminar of the Canadian Mathematical Congress, pp. 115–136, Canadian Mathematical Congress, Montreal.
Cited by
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Items 1,001–1,004 of 1,004
Chen, X., Wang, C., Li, Z., Hou, Z., & Yin, W.-J. (2020) · Science China Materials · doi:10.1007/s40843-019-1255-4 · Cited by 47
Benchmark Test of Black-box Optimization Using D-Wave Quantum Annealer
Koshikawa, A. S., Ohzeki, M., Kadowaki, T., & Tanaka, K. (2021) · Journal of the Physical Society of Japan · doi:10.7566/jpsj.90.064001 · Cited by 43
Solís-Martín, D., Galán-Páez, J., & Borrego-Díaz, J. (2025) · Mathematics · doi:10.3390/math13040555 · Cited by 7
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions
Hernández-Lobato, J. M., Hoffman, M. W., & Ghahramani, Z. (2014) · arXiv · doi:10.48550/arxiv.1406.2541 · Cited by 407
Metadata
- Authors
- Jones, D. R., Schonlau, M., & Welch, W. J.
- Affiliations
- General Motors (United States) (US)
- National Institute of Statistical Sciences (US)
- University of Waterloo (CA)
- Venue
- Journal of Global Optimization
- Published
- 1998-12
- Volume
- 13
- Issue
- 4
- Pages
- 455-492
- ISSN
- 0925-5001 (ISSN-L)
- 1573-2916
- OpenAlex
- W1510052597
- Cited by
- 8,070
- References
- 34
- Citations by year
- 2026: 730 · 2025: 661 · 2024: 601 · 2023: 599 · 2022: 636 · 2021: 659 · 2020: 612 · 2019: 548 · 2018: 458 · 2017: 369 · 2016: 370 · 2015: 284 · 2014: 255 · 2013: 219 · 2012: 215
- FWCI
- 7.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Global Optimization (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Numerical Analysis › Advanced Optimization Algorithms Research
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Advanced Multi-Objective Optimization Algorithms
- Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
- Keywords
- expensive black-box functions, global optimization, response surface methodology, surrogate models, stopping rules, exploration-exploitation balance, prediction error, engineering design optimization
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