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Multi-Modular Optimal Capacity Algorithm for SDH Mesh Networks

机译:SDH网状网络的多模块最优容量算法

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In this paper, we propose a novel multi-modular optimal capacity algorithm for SDH (Synchronous Digital Hierarchy) mesh networks. Our objective is to minimize total capital cost of the SDH mesh networks with modularity. First, the optimization problem is formulated as an integer linear programming (ILP) model. Then considering the time complexity of ILP formulation for large-scale networks, a fast heuristic algorithm named Multi-Modular Optimal Capacity (MMOC) is proposed. Several network models, which serve as test cases, are provided and the numerical results show our heuristic algorithm has low time complexity and good performance (in terms of network cost) near to the ILP results.
机译:在本文中,我们为SDH(同步数字体系)网格网络提出了一种新颖的多模块最优容量算法。我们的目标是使具有模块化的SDH网状网络的总投资成本最小化。首先,将优化问题表述为整数线性规划(ILP)模型。然后考虑到大规模网络中ILP公式的时间复杂度,提出了一种称为多模块最优容量(MMOC)的快速启发式算法。提供了几种用作测试用例的网络模型,数值结果表明我们的启发式算法在ILP结果附近具有较低的时间复杂度和良好的性能(就网络成本而言)。

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