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基于侦察蚁和觅食蚁协作的机器人路径规划算法
引用本文:朱庆保,马卫. 基于侦察蚁和觅食蚁协作的机器人路径规划算法[J]. 控制与决策, 2009, 24(4): 601-605
作者姓名:朱庆保  马卫
作者单位:南京师范大学,数学与计算机科学学院,南京,210097;南京师范大学,数学与计算机科学学院,南京,210097
基金项目:国家自然科学基金,江苏省自然科学基金 
摘    要:根据对真实蚂蚁的最新研究成果,提出了一种全新的机器入路径规划蚂蚁算法.该算法由两组侦察蚁采用最近邻侦察搜索策略相向搜索出一条较优路径,再由一组觅食蚁通过在该路径附近觅食实现对该路径的优化,从而得到一条优化的路径.计算机仿真实验结果表明,算法收敛速度提高显著,且在障碍物非常复杂的地理环境,也能迅速规划出最优或基本最优的路径,效果令人满意.

关 键 词:移动机器人  路径规划  侦察蚁  侦察搜索  蚂蚁算法

A robot path planning algorithm based on scout ants in collaboration with foraging ants
ZHU Qing-bao,MA Wei. A robot path planning algorithm based on scout ants in collaboration with foraging ants[J]. Control and Decision, 2009, 24(4): 601-605
Authors:ZHU Qing-bao  MA Wei
Affiliation:School of Mathematics and Computer Science;Nanjing Normal University;Nanjing 210097;China.
Abstract:According to the latest research achievements on actual ants,a new ant algorithm for robot path planning is presented. In the algorithm, two groups of scout ants collaborate to search for a near-optimal path by adopting neighborhood search strategy. Another group of foraging ants are used to optimize the path by foraging in the vicinity of the path, thus an optimal path is achieved. The results of computer simulation experiments show that the convergence speed of the algorithm has been significantly improve...
Keywords:Mobile robot  Path planning  Scout ants  Scout search  Ant agorithm  
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