Title :
Insertion of new depot locations for the optimization of multi-vehicles multi-depots pickup and Delivery Problems using Genetic Algorithm
Author :
Essia Ben Ala?a;Imen Harbaoui Dridi;Hanen Bouchriha;Pierre Borne
Author_Institution :
CRIStAL: Centre de Recherche en Informatique, Signal et Automatique de Lille, UMR 9189, Ecole Centrale de Lille, Villeneuve d´Ascq, France
Abstract :
The Pickup and Delivery Problems (PDP) represent an important class of Vehicle Routing Problems (VRP) in which goods must be collected and distributed. In this paper, we propose an approach which is based on the combination of Genetic Algorithm (GA) with the clustering algorithm for the optimization of multi-vehicles, multi-depots, pickup and delivery problem (m-MDPDP). The main contribution is to find new depot locations in order to obtain feasible solution (routes) for the m-MDPDPTW. These routes satisfy transportation requests without contravening any of the instance specific constraints.
Keywords :
"Vehicles","Genetic algorithms","Sociology","Statistics","Clustering algorithms","Vehicle routing","Benchmark testing"
Conference_Titel :
Industrial Engineering and Systems Management (IESM), 2015 International Conference on
DOI :
10.1109/IESM.2015.7380234