An Efficient Iterated Local Search Algorithm for the Vehicle Routing Problem with Simultaneous Pickup and Delivery
نویسندگان
چکیده
This paper deals with the Vehicle Routing Problem with Simultaneous Pickup and Delivery (VRPSPD). A procedure based on the Iterated Local Search (ILS) metaheuristic that uses the Variable Neighborhood Descent (VND) method for performing the local search is proposed. According to literature, the most successful algorithms for the VRPSPD are pure or hybrid versions of the Tabu Search metaheuristic. Our objective here is to show that the ILS can also produce highly competitive results. The algorithm developed was tested on benchmark problems available in the VRPSPD literature and it was found capable of improving several of the known solutions.
منابع مشابه
An Improved Modified Tabu Search Algorithm to Solve the Vehicle Routing Problem with Simultaneous Pickup and Delivery
The vehicle routing problem with simultaneous pickup and delivery (VRPSPD) is a well-known combinatorial optimization problem which addresses provided service to a set of customers using a homogeneous fleet of capacitated vehicles. The objective is to minimize the distance traveled. The VRPSPD is an NP-hard combinatorial optimization problem. Therefore, practical large-scale instances of VR...
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