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采用蚁群算法模拟机器人寻路的仿真实验
引用本文:宋遥,李国名,徐丽.采用蚁群算法模拟机器人寻路的仿真实验[J].河北机电学院学报,2010(5):340-343.
作者姓名:宋遥  李国名  徐丽
作者单位:[1]石家庄外经贸职业学院计算机系,河北石家庄050061 [2]石家庄外经贸职业学院工程系,河北石家庄050061 [3]河北政法职业学院计算机系,河北石家庄050064
摘    要:蚁群算法是一种基于蚁群寻找食物这一现象,实现寻路优化的算法。通过在MATLAB中进行程序设计,实现了利用蚁群算法模拟自动寻路的计算,并进一步将程序应用于简易机器人的寻路模块,初步实现机器人的寻路优化功能。

关 键 词:蚁群算法  信息素  逻辑器件

Emulation experiment on realization of robot tracking function through ant colony optimization algorithm
Authors:SONG Yao  LI Guo-ming  XU Li
Affiliation:1.Computer Science Department,Shijiazhuang Foreign Economy and Trade Vocational College,Shijiazhuang Hebei 050061,China;2.Engineering Department,Shijiazhuang Foreign Economy and Trade Vocational College,Shijiazhuang Hebei 050061,China;3.Computer Science Department,Hebei Vocational College of Political Science and Law,Shijiazhuang Hebei 050064,China)
Abstract:Ant colony optimization algorithm is a algorithm based on the phenomenon of ant colony tracking its food.Designed by MATLAB,the software can realize automatic calculation of wayfinding through ant colony optimization algorithm,and then it is used in the simplified robot module to search for the paths.This application preliminarilg achieves function optimization for the robot's wayfinding.
Keywords:ant colony optimization algorithm  information element  logical component
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