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Link load balancing optimization of telecommunication networks: a column generation based heuristic approach

机译:电信网络的链路负载均衡优化:基于列生成的启发式方法

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摘要

This paper deals with optimal load balancing in telecommunication networks. For a capacitated telecommunications network with single path routing and an estimated traffic demand matrix, we wish to determine the routing paths aiming at min-max optimization of link loads. To solve this problem, we propose a column (path) generation based heuristic. In the first step, we use column generation to solve a linear programming relaxation of the basic problem (obtaining a lower bound and a set of paths). In the second step, we apply a multi-start local search heuristic with path-relinking to the search space defined by the paths found in the first step. In order to assess the merits of this approach, we also implemented a search heuristic which is equivalent to the second step of the proposed one but with no constraints on the set of paths that can be used. Through a set of computational results, we show that the proposed heuristic is efficient in obtaining near optimal routing solutions within short running times. Moreover, the comparison of the two heuristics show that constraining the search space to the columns given by column generation gives better results since this solution space contains good quality solutions and, due to its size, enables to find them in short running times.
机译:本文讨论电信网络中的最佳负载平衡。对于具有单路径路由和估计的流量需求矩阵的功能强大的电信网络,我们希望确定旨在最大程度优化链路负载的路由路径。为了解决这个问题,我们提出了一种基于列(路径)生成的启发式方法。第一步,我们使用列生成来解决基本问题的线性编程松弛(获得下限和一组路径)。在第二步中,我们将通过路径重新链接的多起点本地搜索启发式方法应用于第一步中找到的路径所定义的搜索空间。为了评估这种方法的优点,我们还实施了一种搜索启发式方法,该方法等效于所建议方法的第二步,但对可使用的路径集没有任何限制。通过一组计算结果,我们证明了所提出的启发式方法在短运行时间内能有效地获得接近最优的路由解决方案。此外,两种启发式方法的比较表明,将搜索空间限制到由列生成给出的列会产生更好的结果,因为此解决方案空间包含优质的解决方案,并且由于其大小,可以在较短的运行时间内找到它们。

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