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ROBUST SOLUTIONS TO EUCLIDEAN FACILITY LOCATION PROBLEMS WITH UNCERTAIN DATA

机译:不确定数据的欧盟设施位置问题的鲁棒解决方案

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摘要

We consider uncertainty Euclidean facility location problems. Using the existing robust optimization methodology, we certainly obtain robust optimal solution of the Euclidean facility location problem with unknown-but-bounded uncertainty or with an ellipsoidal uncertainty by solving an SOCP or an SDP. In addition, we show that the robust counterpart of the Euclidean facility location problem with fl-ellipsoidal uncertainty is NP-hard. We give an explicit SDP to approximate the NP-hard problem and estimate the quality of the approximation via the level of conservativeness.
机译:我们考虑不确定性的欧几里得工厂位置问题。使用现有的鲁棒优化方法,我们当然可以通过求解SOCP或SDP获得具有未知但有界不确定性或椭圆形不确定性的欧氏设施位置问题的鲁棒最优解。此外,我们表明,具有fl-椭球不确定性的欧氏设施位置问题的鲁棒对应物是NP-hard。我们给出了一个明确的SDP来近似NP-hard问题,并通过保守性水平估计近似的质量。

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