Mazin Abed Mohammed1, Mohd Sharifuddin Ahmad2, Salama A. Mostafa2
Abstract
Vehicle Routing Problem (VRP) has been considered
as a significant segment in logistic handling. Thus, a proper
selection of vehicle routes plays a very important part to
ameliorate the economic benefits of logistic operations. In this
paper, we consider the application of a Genetic Algorithm (GA)
to a Capacitated Vehicle Routing Problem (CVRP) in which a set
of vehicles with limits on capacity and travel time are available to
service a set of customers and constrained by earliest and latest
time for serving. The results of our test show that GA is able to
determine the optimum route for the vehicles while maintaining
their constraints of capacity and travel time.
مازن الشجيري | Mazin AL-Shujeary | 12375