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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Váldodahkkit: Di Zhao, Guangrui Cai, Yuxing Wang, Xixing Li
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: MDPI AG 2024-01-01
Ráidu:Applied Sciences
Fáttát:
Liŋkkat:https://www.mdpi.com/2076-3417/14/3/1129