基于鲸鱼优化算法的机器人路径规划研究

Jie Zan, Peng-Jui Ku, Shoufeng Jin
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引用次数: 4

摘要

机器人的工作环境和人类赋予的工作功能越来越复杂。对于移动机器人,基于传感器技术和智能系统可以实现智能路径规划。为了实现智能移动机器人的路径规划,引入鲸鱼算法并采用遗传算法对其进行优化。结合计算机感知技术,提出了一种新颖的路径规划算法。为了验证所提方法的有效性,仿真分析表明,改进后的算法具有更好的路径优化性能,能够快速分析计算出预期的优化路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on robot path planning based on whale optimization algorithm
The working environment of robot and the working functions entrusted by people are becoming more and more complex. For mobile robot, intelligent path planning can be realized based on sensor technology and intelligent system. In order to realize intelligent mobile robot path planning, whale algorithm is introduced and optimized by genetic algorithm. Combined with computer perception technology, an innovative path planning algorithm is proposed. In order to verify the availability of the proposed method, the simulation analysis shows that the improved algorithm shows better path optimization performance, and can quickly analyze and calculate an intended optimization path.
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