Solutions to Chance-Constrained Programming Problems with Exponential Random Variables by Edgeworth Approximation-Reference-Cited by-同舟云学术

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Solutions to Chance-Constrained Programming Problems with Exponential Random Variables by Edgeworth Approximation

Published:2018 Issue: Volume: Page:1-21
ISSN:2213-8684
Container-title:Springer Proceedings in Complexity
language:
Short-container-title:

Author:

Yılmaz Mehmet,Potas Nihan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-64554-4_1

Reference30 articles.

1. Aringhieri, R. (2005). A Tabu search algorithm for solving chance-constrained programs. Journal of the ACM, V(N), 1–14.

2. Birge, J. R., & Louveaux, F. (1997). Introduction to stochastic programming. Springer series in operations research and financial engineering. New York: Springer.

3. Biswal, M. P., Biswal, N. P., & Li, D. (1998). Probabilistic linear programming problems with exponential random variables: A technical note. European Journal of Operational Research, 111, 589–597.

4. Bitran, G. R., & Thin-Y, L. (1990). Distribution-free, uniformly-tighter linear approximations for chance-constrained programming. MIT Sloan School Working Paper #3111–90-MSA.

5. Charnes, A., & Cooper, W. W. (1959). Chance-constrained programming. Management Science, 5, 73–79.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Change-constrained stochastic programming problem with normal, t and skew normal, skew t distributions;Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics;2021-06-30

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