antljgh

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  目前己存在许多优化算法用来解决该问题，但不少算法都存在一定局限性，如当算法的约束条件较多时，很难求解复杂环境的路径规划问题等。本文根据机器人路径规划算法的研究现状和向智能化、仿生化发展的趋势，研究了一种基于改进蚁群算法的机器人全局路径规划方法。 (At present, there are many optimization algorithm has been used to solve the problem, many algorithms have certain limitations exist, such as when the algorithm is more restrictive conditions, it is hard to solve complex environmental problems such as path planning. Based Robot Path Planning Algorithm for the status quo and to the intelligence, the development of bionic trends, research which is based on ant colony algorithm to improve robot global path planning method.)

文件列表：

基于改进蚁群算法的机器人路径规划.nh