Analysis of Parameter Settings for Differential Evolution Algorithm to Solve a Real-World Frequency Assignment Problem in GSM Networks

M. da Silva Maximiano, M. A. Vega-Rodríguez, J. Gómez-Pulido, J. M. Sánchez-Pérez
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引用次数: 13

Abstract

Frequency assignment is a very important real-world problem, specially in GSM networks. These networks are very used in the telecommunication area (by mid 2006 GSM services were used by more than 1.8 billion subscribers across 210 countries, representing approximately 77% of the world's cellular market). In this paper we solve a real-world instance of this problem, using a differential evolution (DE) algorithm hybridized with a local search method. We also analyze the performance of the several configuration parameters, because the performance of optimization algorithms is highly dependent on the specific properties of the problem to be solved. Several experiments were carried out to find the best set of parameters for the DE algorithm implemented in this work. The final results obtained by DE are very good.
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差分进化算法解决GSM网络实际频率分配问题的参数设置分析
频率分配是一个非常重要的现实问题,特别是在GSM网络中。这些网络在电信领域使用非常广泛(到2006年年中,210个国家的18亿用户使用GSM服务,约占世界蜂窝市场的77%)。在本文中,我们使用微分进化(DE)算法与局部搜索方法相结合,解决了这个问题的一个实际实例。我们还分析了几个配置参数的性能,因为优化算法的性能高度依赖于待解决问题的具体属性。为了找到本工作中实现的DE算法的最佳参数集,进行了多次实验。DE法得到的最终结果非常好。
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