The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Optimization Using Simulated Annealing
Abstract
Much work has been published on the theoretical aspects of simulated annealing. This paper provides a brief overview of this theory and provides an introduction to the practical aspects of function optimization using this approach. Different implementations of the general simulated annealing algorithm are discussed, and two examples are used to illustrate the behaviour of the algorithm in low dimensions. A third example illustrates a hybrid approach, combining simulated annealing with traditional techniques.
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Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Cited by
Hand, D. J. (2007) · Drug Safety · doi:10.2165/00002018-200730070-00010 · Cited by 1,044
Metaheuristics in large-scale global continues optimization: A survey
Mahdavi, S., Shiri, M. E., & Rahnamayan, S. (2015) · Information Sciences · doi:10.1016/j.ins.2014.10.042 · Cited by 465
The Virtual Brain Integrates Computational Modeling and Multimodal Neuroimaging
Ritter, P., Schirner, M., McIntosh, A. R., & Jirsa, V. K. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0120 · Cited by 268
Metadata
- Authors
- Brooks, S. P., & Morgan, B. J. T.
- Venue
- The Statistician
- Publisher
- JSTOR
- Published
- 1995
- Volume
- 44
- Issue
- 2
- Pages
- 241
- ISSN
- 0039-0526 (ISSN-L)
- OpenAlex
- W1485540258
- Cited by
- 348
- References
- 1
- FWCI
- 3.35
- Type
- journal article
- Language
- en
- Open access
- closed
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- Brooks, S. P., & Morgan, B. J. T. (1995). Optimization Using Simulated Annealing. The Statistician. https://doi.org/10.2307/2348448
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.
