Ant Colony Optimization Algorithm for Green Logistics using Android Devices

In Logistics, excessive Green House Gas emission and high fuel consumption from vehicles has become not only an environmental problem but also an economic issue. Therefore, it is important to develop an economic and eco-friendly navigation system for logistics vehicles. The rise of smartphone applications within the transport sector has created new opportunities to solve such problems. In this paper, the objective is to minimize fuel consumption and carbon emission in transportation processes for single-source multi-destination shortest path problems (Similar to Traveling Salesman Problem). An Android application using a hybrid Ant Colony Optimization algorithm is proposed to solve this problem