The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Chance-Constrained Programming
Abstract
A new conceptual and analytical vehicle for problems of temporal planning under uncertainty, involving determination of optimal (sequential) stochastic decision rules is defined and illustrated by means of a typical industrial example. The paper presents a method of attack which splits the problem into two non-linear (or linear) programming parts, (i) determining optimal probability distributions, (ii) approximating the optimal distributions as closely as possible by decision rules of prescribed form.
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Citations
Cites
Cost Horizons and Certainty Equivalents: An Approach to Stochastic Programming of Heating Oil
Charnes, A., Cooper, W. W., & Symonds, G. H. (1958) · Management Science · doi:10.1287/mnsc.4.3.235 · Cited by 623
Self-citation
Cited by
Deterministic Equivalents for Optimizing and Satisficing under Chance Constraints
Charnes, A., & Cooper, W. W. (1963) · Operations Research · doi:10.1287/opre.11.1.18 · Cited by 992
Self-citationUncertain convex programs: randomized solutions and confidence levels
Calafiore, G., & Campi, M. C. (2005) · Mathematical Programming · doi:10.1007/s10107-003-0499-y · Cited by 659
Robust and Data-Driven Optimization: Modern Decision Making Under Uncertainty
Bertsimas, D., & Thiele, A. (2006) · Models, Methods, and Applications for Innovative Decision Making · doi:10.1287/educ.1063.0022 · Cited by 280
Eren, Y., Küçükdemiral, İ. B., & Üstoğlu, İ. (2017) · Optimization in Renewable Energy Systems · doi:10.1016/b978-0-08-101041-9.00002-8 · Cited by 67
Metadata
- Authors
- Charnes, A., & Cooper, W. W.
- Venue
- Management Science
- Published
- 1959-10
- Volume
- 6
- Issue
- 1
- Pages
- 73-79
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2049606892
- Cited by
- 2,742
- References
- 1
- FWCI
- 4.42
- Type
- journal article
- Language
- en
- Open access
- closed
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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.