Path planning with PSO for autonomous vehicle

被引：0
|
作者：
Cai, L. [1 ]
Jia, J. P. [1 ]
机构：
[1] Wuhan Donghu Univ, Mech & Elect Engn Coll, Wuhan, Peoples R China
来源：
ADVANCES IN ENGINEERING MATERIALS AND APPLIED MECHANICS | 2016年
关键词：
MOBILE ROBOTS;
D O I：
暂无
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Vehicle routing problem is a combinatorial problem, which has a practical engineering value in logistics distribution. In this paper, we intend to propose a path planning for vehicle model based on a particle swarm optimization algorithm, which aiming to achieve the optimization of path planning. The particle swarm optimization algorithm is a new swarm intelligent optimization method, which is applied to the vehicle routing problem, constructed by the particle representation methods for vehicle routing problem. The results show that the particle swarm optimization algorithm can obtain the solution for the vehicle routing problem quickly and effectively. It is a good method for solving the vehicle routing problem.
引用
收藏
页码：263 / 266
页数：4
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