DocumentCode
3728951
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
fYear
2015
Firstpage
695
Lastpage
701
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"
Publisher
ieee
Conference_Titel
Industrial Engineering and Systems Management (IESM), 2015 International Conference on
Type
conf
DOI
10.1109/IESM.2015.7380234
Filename
7380234
Link To Document