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Integrating LP-guided variable fixing with MIP heuristics in the robust design of hybrid wired-wireless FTTx access networks

机译:将LP引导变量与MIP启发式集成在混合有线无线FTTX接入网络的鲁棒设计中

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This study investigates how to model and solve the problem of optimally designing FTTx telecommunications access networks integrating wired and wireless technologies, while taking into account the uncertainty of wireless signal propagation. We propose an original robust optimization model for the related robust 3-architecture Connected Facility Location problem, which includes additional variables and constraints to model wireless signal coverage represented through signal-to-interference ratios. Since the resulting robust problem can prove very challenging even for a modern state-of-the art optimization solver, we propose to solve it by an original primal heuristic that combines a probabilistic variable fixing procedure, guided by peculiar Linear Programming relaxations, with a Mixed Integer Programming heuristic, based on an exact very large neighborhood search. A numerical study carried out on a set of realistic instances show that our heuristic can find solutions of much higher quality than a state-of-the-art solver. (C) 2017 Published by Elsevier B.V.
机译:本研究调查了如何建模和解决集成有线和无线技术的最佳设计FTTX电信接入网络的问题,同时考虑到无线信号传播的不确定性。我们提出了一个用于相关的鲁棒3架构连接的设施位置问题的原始鲁棒优化模型,其包括额外的变量和对通过信号到干扰比表示的无线信号覆盖的约束。由于产生的稳健问题可以非常具有挑战性,即使对于现代最先进的优化求解器,我们建议通过一个原始的原始启发式来解决,该原始启发式结合概率可变修复程序,由特殊的线性编程放松引导,混合基于完全非常大的邻域搜索的整数编程启发式。在一组现实实例上进行了一个数值研究表明我们的启发式可以找到比最先进的求解器更高的质量的解决方案。 (c)2017年由Elsevier B.V发布。

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