ABSTRACT
In this study, rovers of automated guided vehicles (AGV) were identified and determined quickly and practically via ant colony optimization. Non-intuitive methods can also be used to determine the routing, but when the number of nodes is large, the number of operations is very large, so heuristic methods are more practical. The purpose of this work is to use ant colony optimization via C# for AGV routing. The products have been transported as soon as possible thanks to routing AGVs. On this page, the effectiveness of the AGV has been increased. In this study, ten nodes were selected as an application. The nodes were used to determine the route of the AGV.
