基于进化算法的HFC网的无源分配网设计

Intelligent Evolutional Algorithms Applied in Designing of Passive Coax Distribution Network for HFC

双向HFC网是有线电视网络升级改造的趋势,在建设HFC网中遇到的一个问题是同轴无源分配网络的设计,人工设计很困难,且不易达到最优效果.因此,引入智能进化算法来解决无源同轴分配网络的设计问题,建立了基于遗传算法和分布估计算法的模型,并重点对遗传算法进行了讨论.网络模型以塔楼结构为主进行讨论.仿真结果显示,该方法能以较快速度收敛,得到较为理想的器件参数选择,有效弥补了现有的辅助设计软件不适应我国复杂楼栋的缺点,减轻了对有经验设计人员的依赖,满足了工程要求.

The upgrading trend of CATV network is from traditional HFC networks to a two-way system. But there is a problem of the inefficiency of experienced engineers who design the passive coax distribution networks of HFC. Intelligent evolutional algorithms are applied to design passive coax networks, including Genetic Algorithm（GA） and Estimation of Distribution Algorithm （EDA）. The model described is based on the tower building structure. The results show that the method could converge fast and give out a desired result of the parameter selection, which makes up the drawbacks of the existing design software that can not properly applied in the Chinese building structure. It lightens the dependence on the designer＇s experience as well as meets the engineering requirement.