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

Abstract

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.