基于遗传算法的移动机器人路径规划研究综述

近年来,随着人工智能技术的不断发展,对移动机器人产业的开发和研究受到越来越多的重视。其中,路径规划作为移动机器人设计的关键核心技术之一,更是学术界、产业界关注和研究的热点问题。遗传算法作为智能仿生学算法在移动机器人路径规划中得到了广泛的应用。归纳总结传统遗传算法、改进遗传算法、混合遗传算法在移动机器人路径规划研究中的应用情况,为相关专业技术人员了解遗传算法在移动机器人路径规划研究中的发展历程及算法应用提供一定的参考。

Summary of Research on Path Planning of Mobile Robot Based on Genetic Algorithms

In recent years, with the continuous development of artificial intelligence technology, more and more attention has been paid to the development and research of mobile robot industry. Among them, path planning, as one of the key core technologies of mobile robot design, is a hot issue concerned and studied by academia and industry. As an intelligent bionic algorithm, genetic algorithm has been widely used in mobile robot path planning. The application of traditional genetic algorithm, improved genetic algorithm and hybrid genetic algorithm in the research of mobile robot path planning is summarized, which provides a certain reference for relevant professional and technical personnel to understand the development process and algorithm application of genetic algorithm in the research of mobile robot path planning.