BriefGPT.xyz
May, 2024
一种快速算法以最小化多项式整数线性规划逆优化问题的预测损失
A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem of MILP
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Akira Kitaoka
TL;DR
通过将最小化预测损失的问题归结为最小化次优性损失的问题,我们提出了一种快速算法来有效地减少权重的预测损失并实现最小化的预测损失值。
Abstract
This paper tackles the problem of minimizing the
prediction loss
of the
optimal solution
(PLS) of the MILP with given data, which is one of the
i
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