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Ant Colonies to Assign Terminals to Concentrators

机译:蚂蚁殖民地将终端分配给选矿厂

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The last few years have seen a significant growth in communication networks. This has resulted in a large variety of new optimisation problems, most of them in the field of combinatorial optimisation. We address here the Terminal Assignment problem. The main objective is to minimise the cost links to form a network by connecting a collection of terminals to a collection of concentrators. In this paper we consider artificial Ant Colonies to assign terminals to concentrators. The algorithms use an improvement method to locate the global minimum. An Ant Colony algorithm is a swam-based optimisation algorithm that mimics the natural behaviour of ants. We show that artificial Ant Colonies are able to achieve feasible solutions to Terminal Assignment instances, improving the results obtained by previous approaches.
机译:在过去的几年中,通信网络有了显着的增长。这导致了各种各样的新的优化问题,其中大多数是在组合优化领域。我们在这里解决终端分配问题。主要目的是通过将终端集合连接到集中器集合来最小化形成网络的成本链接。在本文中,我们考虑将人工蚁群分配给选矿厂。该算法使用一种改进方法来定位全局最小值。蚁群算法是一种基于游泳的优化算法,可模仿蚂蚁的自然行为。我们表明,人工蚁群能够实现终端分配实例的可行解决方案,从而改善通过先前方法获得的结果。

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