Monte Carlo bounding techniques for determining solution quality in stochastic programs-Reference-Cited by-同舟云学术

Monte Carlo bounding techniques for determining solution quality in stochastic programs

Published:1999-02 Issue:1-2 Volume:24 Page:47-56
ISSN:0167-6377
Container-title:Operations Research Letters
language:en
Short-container-title:Operations Research Letters

Author:

Mak Wai-Kei,Morton David P.,Wood R.Kevin

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Software

Reference36 articles.

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5. G.B. Dantzig, P.W. Glynn, M. Avriel, J.C. Stone, R. Entriken, M. Nakayama, Decomposition techniques for multi-area generation and transmission planning under uncertainty, EPRI Report 2940-1, Palo Alto, California, 1989.

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