Abstract: The frequency resources of mobile communication network are limited, in order to improve wireless resource utilization, the improved artificial bee colony algorithm is to solve the wireless channel allocation problem. The proposed algorithm with gradually reduced dynamic step balances local and global search capability. The introduction of the single-individual selective mutation increases population diversity and the convergence speed. Simulation results show that the improved algorithm can be better to solve the wireless channel allocation, improve the convergence rate and convergence speed of algorithm.

Key words: channel assignment, artificial bee algorithm, selective mutation, search step

摘要： 移动通信网络中频率资源是有限的，为了提高无线资源的利用率，将改进的人工蜂群算法用于解决无线信道分配问题。提出的算法用逐步减小邻域搜索范围的动态步长来均衡局部与全局搜索能力；对单个体引入选择性变异技术，增加了种群的多样性，加快了算法的收敛速度。仿真结果表明，改进后的算法能较好地解决无线信道分配问题，提高了算法的收敛率和收敛速度。

关键词: 信道分配, 人工蜂群算法, 选择性变异, 搜索步长