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An ACO algorithm to design UMTS access network using divided and conquer technique

机译:一种采用分而治之技术设计UMTS接入网的ACO算法

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This paper studies the problem of planning UMTS (Universal Mobile Telecommunication System) access network. The aim is to determine the optimal number and location of radio network controllers (RNCs) and to find the connections of minimal cost between RNCs and radio base stations (RBSs) satisfying all the topological constraints. As the problem is NP-hard we propose a hybrid ant colony optimization (ACO) algorithm to tackle it heuristically. The main characteristic of the ACO algorithm is to perturb a saving-based greedy heuristic in its solution construction. We then use decomposition ants (D-ants) to enhance the efficiency of the algorithm. This is achieved by decomposing the master problem and solving only the much smaller sub-problems resulting from decomposition. Comparing with the previous results we will demonstrate through a number of test cases that our algorithms improve best previous results.
机译:本文研究了规划UMTS(通用移动电信系统)接入网的问题。目的是确定无线电网络控制器(RNC)的最佳数量和位置,并找到满足所有拓扑约束的RNC与无线电基站(RBS)之间成本最低的连接。由于问题是NP难题,因此我们提出了一种混合蚁群优化(ACO)算法来启发式解决它。 ACO算法的主要特征是在其解决方案构造中扰动基于储蓄的贪婪启发式算法。然后,我们使用分解蚂蚁(D-ant)来提高算法的效率。这是通过分解主问题并仅解决分解所导致的较小子问题来实现的。与先前的结果进行比较,我们将通过许多测试案例来证明我们的算法可以改善最佳的先前结果。

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