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A Stochastic Model and Algorithm for the Facility Location. Problem

机译:设施位置的随机模型与算法。问题

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摘要

The facility location problems have been applied extensively in practice. We describe a facility location problem with stochastic demand based chance-constrained programming model, and formulate an approach to conversion of the chance constraints to their respective deterministic equivalents. A Lagrangian relaxation approach using subgradient algorithm is adopted and designed for the equivalent model, The performance of the proposed method is tested by a numerical experiment, and show the effectiveness' of the proposed algorithm.
机译:设施位置问题已在实践中广泛应用。我们描述了基于随机需求的机会约束编程模型的设施定位问题,并制定了对其各自的确定性等同物转换的方法。采用测绘算法的拉格朗日放松方法,采用和设计了等效模型,通过数值实验测试了所提出的方法的性能,并显示了所提出的算法的有效性'。

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