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A Parallel evolutionary algorithm for the hub location problem with fully interconnected backbone and access networks

机译:具有完全互连的骨干网和接入网的集线器位置问题的并行进化算法

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This paper proposes a parallel evolutionary algorithm to tackle the fully interconnected network design problem (FINDP), a specific application of hub location to network design. The FINDP has been recently proposed as an NP-hard combinatorial optimization problem formed by two smaller sub-problems: first, given the nodes which form the network, classify them as belonging to the backbone network or not. The second sub-problem consists of assigning the access network to a hub (node of the backbone network). In this paper we propose a parallel evolutionary algorithm to tackle the FINDP. We describe the architecture and how to structure the algorithm to solve the problem. Experimental tests have been carried out in several synthetic instances, and a comparison with existing approaches have shown the good performance of our algorithm.
机译:本文提出了一种并行进化算法来解决完全互连的网络设计问题(FINDP),这是集线器位置在网络设计中的特定应用。 FINDP最近被提出为由两个较小的子问题构成的NP-hard组合优化问题:首先,给定形成网络的节点,将其分类为是否属于骨干网络。第二个子问题包括将访问网络分配给集线器(骨干网的节点)。在本文中,我们提出了一种并行进化算法来解决FINDP。我们描述了体系结构以及如何构造算法来解决该问题。已经在几个综合实例中进行了实验测试,并且与现有方法的比较表明了我们算法的良好性能。

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