Research on Path Optimization with PSO for Unmanned Vehicle

Authors

  • Li Cai Wuhan Donghu University
  • Jianping Jia Wuhan Donghu University
  • Juan Lei Wuhan Donghu University

DOI:

https://doi.org/10.3991/ijoe.v11i8.4878

Keywords:

Path Optimization, Particle swarm optimization algorithm, Wheeled vehicle

Abstract


The development of autonomous unmanned vehicles is of high interest to many organizations around the world and path planning is the key point of the navigation for the autonomous unmanned vehicle. Intelligent algorithms have been applied in this field and an essential aspect of unmanned vehicles autonomy is the ability for automatic path planning. In this paper, particle swarm optimization algorithm as one of new swarm intelligent optimization methods is introduced into a path planning for autonomous vehicle, which is constructed of a particle representation methods for vehicle routing problem with fast convergence speed. The results show that the particle swarm optimization algorithm can obtain the solution of the vehicle routing problem quickly and effectively. It is a good method for solving the vehicle routing problem.

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Published

2015-10-26

How to Cite

Cai, L., Jia, J., & Lei, J. (2015). Research on Path Optimization with PSO for Unmanned Vehicle. International Journal of Online and Biomedical Engineering (iJOE), 11(8), pp. 21–24. https://doi.org/10.3991/ijoe.v11i8.4878

Issue

Vol. 11 No. 8 (2015): Online Engineering Innovations based on Intelligent Information Processing

Section

Papers

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