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A controlled random search procedure for global optimisation
Abstract
A new random search procedure is described which, while conceptually simple and easily programmed on a minicomputer, is effective in searching for global minima of a multimodal function, with or without constraints. The procedure is compared with a global optimisation algorithm devised by Becker and Lago and the results of trials, using a variety of test problems, are given.
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Cited by
Corana, A., Marchesi, M., Martini, C., & Ridella, S. (1987) · ACM Transactions on Mathematical Software · doi:10.1145/29380.29864 · Cited by 1,531
Generalized Simulated Annealing for Function Optimization
Bohachevsky, I. O., Johnson, M. E., & Stein, M. L. (1986) · Technometrics · doi:10.1080/00401706.1986.10488128 · Cited by 573
Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions
Khuri, A. I., & Conlon, M. (1981) · Technometrics · doi:10.1080/00401706.1981.10487681 · Cited by 386
Lahoz-Beneytez, J., Elemans, M., Zhang, Y., Ahmed, R., Salam, A., Block, M., Niederalt, C., Asquith, B., & Macallan, D. (2016) · Blood · doi:10.1182/blood-2016-03-700336 · Cited by 293
PERCH: A Unified Framework for Disease Gene Prioritization: HUMAN MUTATION
Feng, B.-J. (2017) · Human Mutation · doi:10.1002/humu.23158 · Cited by 289
Metadata
- Authors
- Price, W. L.
- Venue
- The Computer Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 1977-04-01
- Volume
- 20
- Issue
- 4
- Pages
- 367-370
- ISSN
- 0010-4620 (ISSN-L)
- 1460-2067
- OpenAlex
- W2065606540
- Cited by
- 323
- References
- 0
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Price, W. L. (1977). A controlled random search procedure for global optimisation. The Computer Journal. https://doi.org/10.1093/comjnl/20.4.367
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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.