Transactions of the Japan Society for Industrial and Applied Mathematics
Online ISSN : 2424-0982
ISSN-L : 0917-2246
On Lower Bounds For Stochastic Programming Problem Considering Variance
Takayuki ShiinaYu TagayaSusumu Morito
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2014 Volume 24 Issue 1 Pages 59-68

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Abstract
In this paper, the two-stage stochastic programming problem is considered where the objective function includes the variance of the recourse cost. The problem is a nonconvex minimization problem and the exact solution method based on the branch-and-bound was proposed. We present the new lower bound for the objective function. It is shown that the solution algorithm using the new lower bound is effective to solve the problem.
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© 2014 The Japan Society for Industrial and Applied Mathematics
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