首页 /研究 /The Route Planning for AMR Based on Combined Ant Colony and Genetic Algorithm
OTHER

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

Yong Zhou, Jiakuan Gao, Yubo Zhang, Hao Wu

发表年份
2019
引用次数
3

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.

关键词

Ant colony optimization algorithmsComputer scienceGenetic algorithmAnt colonyANTAlgorithmMachine learningComputer network

相关论文

查看 OTHER 分类全部论文