基于遗传算法的自主移动机器人路径规划

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT) Pub Date : 2023-05-22 DOI:10.1109/JEEIT58638.2023.10185855

Areej Alabbadi, Awos Kanan

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引用次数: 0

摘要

本文采用遗传算法求解静态环境下自主移动机器人的路径规划问题。路径规划问题的目标是在两点之间找到一条有效且实用的路径，同时避开障碍物，并优化路径长度、安全性和与障碍物的距离等一系列标准。提出了一个质量函数来评估不同场景下的优化方法。实验结果表明，利用搜索算法参数的最优值可以在较短的时间内得到增强解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Genetic Algorithm-Based Path Planning for Autonomous Mobile Robots

In this paper, a Genetic Algorithm is used to solve the path planning problem for autonomous mobile robots in static environments. The goal of the path planning problem is to find a valid and practical path between two points while avoiding obstacles and optimizing a number of criteria including path length, safety, and distance from obstacles. A quality function is proposed to evaluate the optimization approach for different scenarios. Experimental results show that enhanced solutions can be achieved in less time using optimal values of the search algorithm parameters.

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来源期刊

2023 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)

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