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改进人工蜂群算法在信道分配上的应用
引用本文:刘俊霞,贾振红,覃锡忠,常 春,王 浩. 改进人工蜂群算法在信道分配上的应用[J]. 计算机工程与应用, 2013, 49(7): 119-122
作者姓名:刘俊霞  贾振红  覃锡忠  常 春  王 浩
作者单位:1.新疆大学 信息科学与工程学院,乌鲁木齐 8300462.中国移动新疆分公司,乌鲁木齐 8300633.新疆机电职业技术学院,乌鲁木齐 830011
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  

Applications in channel assignment based on improved artificial bee colony algorithm
LIU Junxia,JIA Zhenhong,QIN Xizhong,CHANG Chun,WANG Hao. Applications in channel assignment based on improved artificial bee colony algorithm[J]. Computer Engineering and Applications, 2013, 49(7): 119-122
Authors:LIU Junxia  JIA Zhenhong  QIN Xizhong  CHANG Chun  WANG Hao
Affiliation:1.Institute of Information Science and Engineering, Xinjiang University, Urumqi 830046, China2.Xinjiang Mobile Communication Company, Urumqi 830063, China3.Xinjiang Institute of Electrical and Mechanical Technology, Urumqi 830011, China
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.
Keywords:channel assignment  artificial bee algorithm  selective mutation  search step  
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