The Optimal Global Path Planning of Mobile Robot Based on Improved Hybrid Adaptive Genetic Algorithm in Different Tasks and Complex Road Environments

The Optimal Global Path Planning of Mobile Robot Based on Improved Hybrid Adaptive Genetic Algorithm in Different Tasks and Complex Road Environments

In complex environments, mobile robots performing tasks with different hazard levels need to consider different road factors, this paper proposes a functional model correlating task hazard levels with road factors, proposing an innovative Hybrid Adaptive Genetic Algorithm (HAGA). The HAGA integrates...

Full description

Bibliographic Details
Main Authors: Tingping Feng, Junmin Li, Hao Jiang, Simon X. Yang, Pengxiang Wang, Yangxin Teng, Siyu Chen, Qiang Fu, Bingjie Luo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Mobile robot
optimal global path planning
hybrid adaptive genetic algorithm
adaptive 2-opt* operator
different tasks optimization model
Online Access:https://ieeexplore.ieee.org/document/10413470/

Internet

https://ieeexplore.ieee.org/document/10413470/

Similar Items