Title of article :
A new saving-based ant algorithm for the Vehicle Routing Problem with Simultaneous Pickup and Delivery
Author/Authors :
اatay، نويسنده , , Bülent، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Abstract :
The Vehicle Routing Problem with Pickup and Delivery (VRPPD) is a variant of the Vehicle Routing Problem where the vehicles are not only required to deliver goods but also to pick up some goods from the customers. Given a fleet of vehicles and a set of customers with known delivery and/or pickup demands for one commodity VRPPD determines a set of vehicle routes originating and ending at a single depot and visiting all customers exactly once. The objective is to minimize the total distance traversed. In this paper, we consider a special case of the VRPPD where each customer has both a delivery and a pickup demand to be satisfied simultaneously. For this problem, we propose an ant colony algorithm employing a new saving-based visibility function and pheromone updating procedure. The numerical tests with the well-known benchmark problems from the literature show that the proposed approach provides competitive results and improves several best-known solutions.
Keywords :
vehicle routing , Metaheuristics , reverse logistics , Ant Colony Optimization
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications