Virtual Force-Decorated Genetic Algorithm to Optimize Base Station Locations

Huan Wang, W. Huangfu, Yunhui Qin, Keping Long
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引用次数: 1

Abstract

The base station location optimization is one of the most important issues in cellular networks. A novel genetic algorithm combined with the virtual force decoration to improve coverage performance of cellular networks is proposed. The virtual force decoration modifies the individuals and provides a better direction guide for the gene mutation. Experiences prove the proposed algorithm not only obtains higher coverage rate but also converges faster than the standard genetic algorithms.
虚拟力装饰遗传算法优化基站位置
基站位置优化是蜂窝网络中最重要的问题之一。提出了一种结合虚拟力装饰的遗传算法来提高蜂窝网络的覆盖性能。虚力修饰修饰了个体,为基因突变提供了更好的方向指导。实践证明,该算法不仅具有较高的覆盖率,而且收敛速度快于标准遗传算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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