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Survivable multi-commodity network flow design: case of node capacities and arc failure

机译:可生存的多商品网络流程设计:节点容量和灭弧功能

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This paper is focused on the design of a survivable network with node capacities and flow restrictions. The goal is to design a survivable network at minimum cost so that feasible flows exist at the time of multiple simultaneous failure arcs (failure scenario). To solve this problem Benders' decomposition (BD) was initially proposed and, then, a new strategy was presented to obtain specific failure scenarios. We computationally demonstrated that BD using this strategy could obtain the optimal solution faster. This strategy reduced iterations more greatly than the BD approach. Using this strategy, the length CPU time required for solving the problem was reduced by 30% on average.
机译:本文专注于设计具有节点容量和流量限制的可生存网络的设计。 目标是以最小成本设计可生存的网络,以便在多个同时发生故障弧(故障场景)时存在可行流量。 为了解决这个问题,最初提出了“分解(BD)”,那么,提出了一种新的策略来获得特定的失败情景。 我们计算地展示了使用此策略的BD可以更快地获得最佳解决方案。 该策略比BD方法更大地减少迭代。 使用此策略,解决问题所需的长度CPU时间平均减少了30%。

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