This paper studies one of the core problems in the supply chain management and transportation - Multi-depot Vehicle Routing Problem (MDVRP). After modelling the MDVRP as a binary programming problem, we present two solving methodologies - two-stage and one-stage approaches. Two-stage approach decomposes the MDVRP into two independent subproblems - assignment and routing, and solves it separately. In contrast, our proposed one-stage algorithm integrates the assignment with the routing. Experimental results on the benchmark data show that the one-stage algorithm outperforms the published two-stage methods
Starting from a real-life application, in this short paper, we propose the original Multi-Depot Mult...
We introduce two large neighborhood search approaches for solving the multi-trip vehicle routing pro...
This paper considers the Multi-Depot Vehicle Routing Problem (MDVRP). Given the intrinsic difficulty...
In this paper, we present a state-of-the-art survey on the vehicle routing problem with multiple dep...
The multi-depot vehicle routing problem (MDVRP) is a very challenging part of supply chain optimizat...
Abstract — Due to the development of communication and information technology, and the increase pres...
The multi-depot vehicle routing problem (MDVRP) is a variant of the standard vehicle routing problem...
The multi-depot open vehicle routing problem (MDOVRP) is a hard combinatorial optimization problem b...
The multi-depot open vehicle routing problem (MDOVRP) is a recent hard combinatorial optimization pr...
This paper presents an algorithm based on the General Variable Neighborhood Search (GVNS) metaheuris...
Abstract. The Vehicle Routing Problems (VRPs) has been extensively studied and applied in many field...
In this paper, we compare different formulations of the multi-depot fleet size and mix vehicle routi...
International audienceIn this paper, we address the Multi-Depot Open Vehicle Routing Problem (MDOVRP...
Vehicle Routing Problems (VRPs) have been extensively studied and applied in many fields. Variants o...
The present study aimed to route vehicles from depot in two-level supply chain with a meta-heuristic...
Starting from a real-life application, in this short paper, we propose the original Multi-Depot Mult...
We introduce two large neighborhood search approaches for solving the multi-trip vehicle routing pro...
This paper considers the Multi-Depot Vehicle Routing Problem (MDVRP). Given the intrinsic difficulty...
In this paper, we present a state-of-the-art survey on the vehicle routing problem with multiple dep...
The multi-depot vehicle routing problem (MDVRP) is a very challenging part of supply chain optimizat...
Abstract — Due to the development of communication and information technology, and the increase pres...
The multi-depot vehicle routing problem (MDVRP) is a variant of the standard vehicle routing problem...
The multi-depot open vehicle routing problem (MDOVRP) is a hard combinatorial optimization problem b...
The multi-depot open vehicle routing problem (MDOVRP) is a recent hard combinatorial optimization pr...
This paper presents an algorithm based on the General Variable Neighborhood Search (GVNS) metaheuris...
Abstract. The Vehicle Routing Problems (VRPs) has been extensively studied and applied in many field...
In this paper, we compare different formulations of the multi-depot fleet size and mix vehicle routi...
International audienceIn this paper, we address the Multi-Depot Open Vehicle Routing Problem (MDOVRP...
Vehicle Routing Problems (VRPs) have been extensively studied and applied in many fields. Variants o...
The present study aimed to route vehicles from depot in two-level supply chain with a meta-heuristic...
Starting from a real-life application, in this short paper, we propose the original Multi-Depot Mult...
We introduce two large neighborhood search approaches for solving the multi-trip vehicle routing pro...
This paper considers the Multi-Depot Vehicle Routing Problem (MDVRP). Given the intrinsic difficulty...