Path Planning of Obstacle-Crossing Robot Based on Golden Sine Grey Wolf Optimizer

Path Planning of Obstacle-Crossing Robot Based on Golden Sine Grey Wolf Optimizer

This paper proposes a golden sine grey wolf optimizer (GSGWO) that can be adapted to the obstacle-crossing function to solve the path planning problem of obstacle-crossable robot. GSGWO has been improved from the gray wolf optimizer (GWO), which provide slow convergence speed and easy to fall into l...

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Bibliographic Details
Main Authors: Di Zhao, Guangrui Cai, Yuxing Wang, Xixing Li
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Applied Sciences
Subjects:
obstacle-crossing robot
path planning
grey wolf optimizer
golden sine strategy
Online Access:https://www.mdpi.com/2076-3417/14/3/1129

Internet

https://www.mdpi.com/2076-3417/14/3/1129

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