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Evolutionary Operation: A Method for Increasing Industrial Productivity
Abstract
The book is about the philosophy and practice of evolutionary operation (EVOP), a simple but powerful statistical tool with wide application in industry. Experience has long shown that statistical methods, sometimes quite sophisticated in character, can be of great value in improving the efficiency of laboratory and pilot-plant investigations made by specially trained chemists and engineers. What originally motivated the introduction of EVOP, however, was the idea that the widespread and daily use of simple statistical design and analysis during routine production by process operatives themselves could reap rewards. (Author)
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Citations
Cited by
An Introduction to Genetic Algorithms
Mitchell, M. (1996) · doi:10.7551/mitpress/3927.001.0001 · Cited by 11,340
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
Evolutionary computation: Comments on the history and current state
Back, T., Hammel, U., & Schwefel, H.-P. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585888 · Cited by 1,536
Sequential Application of Simplex Designs in Optimisation and Evolutionary Operation
Spendley, W., Hext, G. R., & Himsworth, F. R. (1962) · Technometrics · doi:10.1080/00401706.1962.10490033 · Cited by 1,379
Bonell, C., Fletcher, A., Morton, M., Lorenc, T., & Moore, L. (2012) · Social Science & Medicine · doi:10.1016/j.socscimed.2012.08.032 · Cited by 582
Metadata
- Authors
- Box, G. E. P.
- Venue
- Applied Statistics
- Publisher
- JSTOR
- Published
- 1957-06
- Volume
- 6
- Issue
- 2
- Pages
- 81
- ISSN
- 0035-9254 (ISSN-L)
- OpenAlex
- W2801034590
- Cited by
- 576
- References
- 0
- FWCI
- 7.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- Box, G. E. P. (1957). Evolutionary Operation: A Method for Increasing Industrial Productivity. Applied Statistics. https://doi.org/10.2307/2985505
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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.
