Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1022964 | Transportation Research Part E: Logistics and Transportation Review | 2016 | 19 Pages |
•VRPs in distribution centers with cross-docking are more complex than the traditional ones.•This paper addresses the VRP of distribution centers with multiple cross-docks for processing multiple products.•The formulated model is solved by using PSO with a Self-Learning strategy.•The results obtained by SLPSO are compared with a GA based approach.
Vehicle Routing Problems (VRPs) in distribution centers with cross-docking operations are more complex than the traditional ones. This paper attempts to address the VRP of distribution centers with multiple cross-docks for processing multiple products. In this paper, the mathematical model intends to minimize the total cost of operations subjected to a set of constraints. Due to high complexity of model, it is solved by using a variant of Particle Swarm Optimization (PSO) with a Self-Learning strategy, namely SLPSO. To validate the effectiveness of SLPSO approach, benchmark problems in the literature and test problems are solved by SLPSO.