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A LAGRANGEAN AND SUBGRADIENT METHOD FOR THE OPTIMIZATION OF WAVELENGTH ROUTING NETWORK DESIGN

机译:用于优化波长路由网络设计的拉格朗族和子晶体方法

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In this paper, we study the logical topology design and reconfiguration problem in a DWDM network based on oar newest observation and former research. We formulated the problem into a constrained mixed-integer linear problem (MILP), and the problem is solved with Lagrangean relaxation (LR) technique and snbgradient method that can provide a lower bound on the objective function value. We provided a proof to the convergence the subgradient method with more than one set of Lagrange multipliers. We have also proposed a heuristics that would allow us to construct a feasible routing scheme. The effectiveness of our optimization approach is tested numerically based on the relative duality-gap measure. Based on the characteristics of the LR approach, we studied the reconfiguration issue of the network when there are minor changes of resources in the network.
机译:本文基于OAR最新观察和前研究,研究了DWDM网络中的逻辑拓扑设计和重新配置问题。我们将问题分为受约束的混合整数线性问题(MILP),并用Lagrangean弛豫(LR)技术和SNBGRadient方法解决了问题,该方法可以在目标函数值上提供下限。我们提供了一种归因于汇聚与多个拉格朗日乘法器组的子射频方法。我们还提出了一种允许我们构建可行的路由方案的启发式。基于相对二元间隙测量,我们的优化方法的有效性在数值上进行了数值测试。基于LR方法的特征,我们研究了网络中有次要资源变化时网络的重新配置问题。

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