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A novel integer linear programming model for routing and spectrum assignment in optical networks

机译:光网络中用于路由和频谱分配的新型整数线性规划模型

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The routing and spectrum assignment problem is an NP-hard problem that receives increasing attention during the last years. Existing integer linear programming models for the problem are either very complex and suffer from tractability issues or are simplified and incomplete so that they can optimize only some objective functions. The majority of models uses edge-path formulations where variables are associated with all possible routing paths so that the number of variables grows exponentially with the size of the instance. An alternative is to use edge-node formulations that allow to devise compact models where the number of variables grows only polynomially with the size of the instance. However, all known edge-node formulations are incomplete as their feasible region is a superset of all feasible solutions of the problem and can, thus, handle only some objective functions.Our contribution is to provide the first complete edge-node formulation for the routing and spectrum assignment problem which leads to a tractable integer linear programming model. Indeed, computational results show that our complete model is competitive with incomplete models as we can solve instances of the RSA problem larger than instances known in the literature to optimality within reasonable time and w.r.t. several objective functions. We further devise some directions of future research.
机译:路由和频谱分配问题是一个NP难题,在最近几年受到越来越多的关注。针对该问题的现有整数线性规划模型要么非常复杂且遭受易处理性问题困扰,要么被简化且不完整,因此它们只能优化某些目标函数。大多数模型使用边缘路径公式,其中变量与所有可能的路由路径相关联,因此变量的数量随实例的大小呈指数增长。一种替代方法是使用边缘节点公式,该公式允许设计紧凑的模型,其中变量的数量仅随实例的大小呈多项式增长。但是,所有已知的边缘节点公式都不完整,因为它们的可行区域是该问题所有可行解决方案的超集,因此只能处理一些目标函数。我们的贡献是为路由提供第一个完整的边缘节点公式频谱分配问题导致了可处理的整数线性规划模型。的确,计算结果表明我们的完整模型与不完整的模型具有竞争力,因为我们可以在合理的时间和重量内将RSA问题的实例比文献中已知的实例更大,以达到最优。几个目标函数。我们进一步设计了一些未来研究的方向。

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