摘要
随着现代化小区规模日益增大,小区内能提供智能大厦位置查询与智能大厦间导游已日益凸显其重要性。通过对蚁群算法改进,解决其过早出现停滞现象以及加快搜索速度;同时通过对路径加权,选择出更加符合实际情况的优先路径。经测试后,效果明显。
As the scale of Morden Residential District(RD) growing up,to provide queries of the sites of Intelligent Buildings and guide of the RD is more and more meaningful.To solve the early stagnating state problem and accelerate the speed of searching by using the ant colony optimization algorithm.At the same time,To select a proper actual path by weighing it.Testing shows the result is good.
出处
《计算机工程与应用》
CSCD
北大核心
2006年第26期198-200,共3页
Computer Engineering and Applications
基金
湖北省建设科技开发项目(编号:K200333)
关键词
蚁群算法
智能大厦
加权路径
ant colony optimization(ACO) algorithm,intelligent building(IB),weight path