摘要
该文对蚁群算法加以改进,提出了基于模糊评判的蚁群算法并应用于车载导航系统中,该算法不但可以充分地利用蚁群算法的良好特性,而且,能够综合权衡多个影响导航的主要因素的组合优化作用,求解最优线路.通过对实验数据进行的统计与分析,该算法获得了良好的导航效果.
With the continuous improvement of living standards and rising number of motor vehicles, traffic jams, congestion and so on are more and more serious, users＇ requirements about the car navigation system QOS and performance are increasing. In this paper, ant colony algorithm based on fuzzy judge is proposed on car navigation system. The algorithm not only can fully utilize the good characteristics of ant colony algorithm, but also can solve the optimal line and achieve a good navigation results by analyzing experiment data.
出处
《曲阜师范大学学报（自然科学版）》
CAS
2012年第1期37-40,44,共5页
Journal of Qufu Normal University(Natural Science)
关键词
蚁群算法
模糊评判
车载导航系统
Ant colony algorithm
fuzzy judgment
car navigation system
