Improved Dynamic Double Mutation Particle Swarm Optimization for Mobile Robot Path Planning

被引：0
|
作者：
Liao, Linling [1 ]
Cai, Xiushan [1 ]
Huang, Huadong [1 ]
Liu, Yanhong [2 ]
机构：
[1] Zhejiang Normal Univ, Coll Math Phys & Informat Engn, Jinhua 321004, Peoples R China
[2] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
Double mutation particle swarm; path planning; MAKLINK graph; enumeration method; Dijkstra algorithm; ALGORITHM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new path planning approach, in which the MAKLINK graph is constructed to describe the complex environment of the mobile robot, the enumeration method ideas into Dijkstra algorithm is used to obtain the shortest path, and the dynamic double mutation particle swarm optimization algorithm is adopted to get the optimal path. Finally, simulation results are used to illustrate the validity of the proposed method.
引用
收藏
页码：3235 / 3239
页数：5
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