The Route Planning for AMR Based on Combined Ant Colony and Genetic Algorithm

被引：0
|
作者：
Zhou, Yong [1 ]
Gao, Jiakuan [1 ]
Zhang, Yubo [1 ]
Wu, Hao [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Aeronaut, Xian 710072, Peoples R China
来源：
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年
关键词：
AMR; Route planning; Combined ACO and GA;
D O I：
10.1109/ccdc.2019.8832733
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
AMR(Autonomous Mobile Robots) have developed rapidly recently and have been implemented into various industrial fields. AMR have become more practical, systematic and intelligent.Navigation technology is the core of AMR. This paper studies the route planning for AMR in the wireless sensor networks based on the combined ant colony and genetic algorithm. Firstly the system model for the control design of AMR is described. secondly the application of Genetic algorithm for route planning is introduced. Thirdly, the paper analyses the most popular method ACO(Ant Colony Optimization). and combine the GA(Genetic Algorithm)and ACO in the specific phase to develop a new combined method. Simulation and experiment results both show the combined algorithm has the better performance.
引用
收藏
页码：4560 / 4565
页数：6
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