 This paper compares two different approaches to solving a bus route scheduling problem. One approach uses a multi-agent system while the other uses a traditional mixed integer linear programming, MILP, model. The authors tested both methods on a small network and then extended their comparison to real data from the Maltese Islands. They found that the multi-agent system was more efficient than the MILP model when dealing with larger networks. This article was authored by Sadi Sharma, Somesh Bhattacharya, Deep Kiran and others.