摘要
首先基于蚁群算法建立了一个多用户检测问题的模型,在这个模型中,蚁群算法得到了简化并且更加利于并行计算。随后将最大-最小的蚂蚁系统用于多用户检测,并通过分析算法的缺陷提出了一种蚁群算法与禁忌搜索相结合的混合算法。通过对多用户检测问题的试验仿真表明,改进算法不仅操作简单,而且全局搜索能力有了显著的提高。
A model of MUD （ MultiUser Detection） based on ACO （ Ant colony optimization） is firstly introduced in this paper, in which ACO is simplified so that it is easy to apply parallel computing. Then the paper offers a new muhiuser detector in use of max - min ant system （MMAS）, and a hybrid algorithm combined by tabu search （TS） with MMAS based on the analysis of imperfections of MMAS. The experi2 ment results of muhiuser detection model show that the new algorithm is simple in application and also improves the global search ability significantly.
出处
《计算机应用与软件》
CSCD
北大核心
2008年第5期112-114,共3页
Computer Applications and Software
基金
河南省科技厅科技攻关项目(072102240032)。
