Orienteering Problem with Variable Profits, Fractional Objective Function and Demand on Arcs

Nowadays, due to the high expectations of customers in meeting their demand and the competition environment among service providers, employers are working to provide customers with new methods in the shortest possible time and in the best possible way to attract customer’s satisfaction and maximize profits. In this paper, the orienteering problem with variable profits, fractional objective function and demand on arcs is studied. An appropriate integer programming model is proposed to solve it. In this case, the purpose is to determine a route for a vehicle so that it maximizes the profit, the start and end of its route is at the origin, serving demands of customers, and does not exceed a maximum allowed travel time. In the orinteering problem with variable profits and fractional objective function the customers are located on vertices of the graph corresponding to the problem. Next, a problem is considered in which the service is performed on arcs. The resulting problem is called the orinteering arc routing problem with variable profits and fractional objective function. We solve the problem by bisection method. In the end, the numerical efficiency of the  proposed model is examined. The proposed algorithms can solve problems in a reasonable amount of time. We will also see that the time of solving problems depends on their graph structure and not on their size.