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根据对真实蚂蚁的最新研究成果,提出了一种全新的机器人路径规划蚂蚁算法.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.
Based on the latest research results of real ants, a new ant algorithm for robot path planning is proposed, in which two groups of reconnaissance ants search for a better path by using the nearest neighbor reconnaissance search strategy, and then a group of foraging ants pass And fished in the vicinity of the path to optimize the path, so as to obtain an optimized path.Computer simulation results show that the convergence speed of the algorithm increases significantly, and in a very complex geographical environment of the obstacle, it can quickly plan the optimal or The basic optimal path, the effect is satisfactory.