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 vrpspd...

Vehicle Routing Problem (VRP) is addressed to a class of problems for determining a set of vehicle routes, in which each vehicle departs from a given depot, serves a given set of customers, and returns back to the same depot. On the other hand, simultaneous delivery and pickup problems have drawn much attention in the past few years due to its high usage in real world cases. This study, therefo...

Although evolutionary algorithms have often been used to address VRPs and VRPTWs [1], applications to other routing problems such as period routing and inventory routing are less common. In this paper, a versatile hybrid evolutionary algorithm is developed that can be used for cyclic inventory routing and a variety of capacitated and periodic vehicle routing problems. First, a random insertion ...

in this study the location routing problem with fuzzy parameters is taken into account, this problem involves determining the location of the depots and routing of the vehicles in order to serve the customers. in this study a location routing problem with fuzzy travel times and due dates is considered and two objective models are proposed. the considered objectives are minimizing the total cost...

In this article, multiple-product PVRP with pickup and delivery that is used widely in goods distribution or other service companies, especially by railways, was introduced. A mathematical formulation was provided for this problem. Each product had a set of vehicles which could carry the product and pickup and delivery could simultaneously occur. To solve the problem, two meta-heuristic methods...

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...

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...

Here, a mixed-integer linear programming model is developed to represent transportation system of students traveling from/to university campus. The concept ridesharing used and the mechanism combinatorial auctions incorporated within routing-based model. mathematical based on vehicle routing problem along with appropriate constraints accommodating features that express auction clearing phase. A...

The vehicle routing problem with the capacity constraints was considered in this paper. It is quite difficult to achieve an optimal solution with traditional optimization methods by reason of the high computational complexity for large-scale problems. Consequently, new heuristic or metaheuristic approaches have been developed to solve this problem. In this paper, we constructed a new heuristic ...

This research present a set-partitioning heuristic to generate populations in a hybrid genetic algorithm (hGA) which is able to solve four different variants of the vehicle routing problem: the multi-depot vehicle routing problem (MDVRP), the heterogeneous fleet and mix decisions (type, size and number of vehicle) (HFMVRP), site dependent vehicle routing problem (SDVRP) and the asymmetric vehic...