An ant colony optimization based real-time mobile application for the capacitated vehicle routing problem

This work focuses on the capacitated vehicle routing problem. In this work, a real-time application is developed using online real-world data for mobile devices have IOS and Android operating systems. The fuzzy c-means clustering algorithm used to group demand points ant colony optimization employed determine best route within each group. customer distances between these are obtained via Google Places Directions APIs. deviations in that result from environmental road conditions identified immediately with help of global positioning system technology allowing suggestions be made. was evaluated two datasets testing. test results showed can find optimum problem follow optimally.