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The Multi-period Incremental Service Facility Location Problem

机译:多期增量服务设施选址问题

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In this paper we introduce the multi-period incremental service facility location problem where the goal is to set a number of new facilities over a finite time horizon so as to cover dynamically the demand of a given set of customers.We prove that the coefficient matrix of the allocation subproblem that results when fixing the set of facilities to open is totally unimodular.This allows to solve efficiently the Lagrangean problem that relaxes constraints requiring customers to be assigned to open facilities.We propose a solution approach that provides both lower and upper bounds by combining subgradient optimization to solve a Lagrangean dual with an ad hoc heuristic that uses information from the Lagrangean subproblem to generate feasible solutions.Numerical results obtained in the computational experiments show that the obtained solutions are very good.In general,we get very small percent gaps between upper and lower bounds with little computation effort.
机译:本文介绍了多周期增量服务设施的选址问题,其目标是在有限的时间范围内设置许多新设施,以动态满足给定客户群的需求。我们证明了系数矩阵固定开放设施的集合时产生的分配子问题是完全单模的,这可以有效地解决拉格朗日问题,从而放宽了要求将客户分配给开放设施的约束。我们提出了一种解决方法,该方法同时提供上下限通过结合次梯度优化来解决Lagrangean对偶问题,并利用临时启发式方法,该启发式方法使用Lagrangean子问题的信息来生成可行的解决方案。在计算实验中获得的数值结果表明,所获得的解决方案非常好。通常,我们得到的百分比很小上下限之间的间隙,计算量很少。

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