Application of Multiagent Technologies to Multiple Depot Vehicle Routing Problem with Time Windows
- Authors: Sazonov V.V.1, Skobelev P.O.2,3, Lada A.N.4, Mayorov I.V.4
- 
							Affiliations: 
							- Faculty of Computational Mathematics and Cybernetics
- Samara National Research University
- Institute for the Control of Complex Systems of Russian Academy of Sciences
- SEC Smart Solutions
 
- Issue: Vol 79, No 6 (2018)
- Pages: 1139-1147
- Section: Large Scale Systems Control
- URL: https://journals.rcsi.science/0005-1179/article/view/150944
- DOI: https://doi.org/10.1134/S0005117918060127
- ID: 150944
Cite item
Abstract
In this paper, a multiagent approach to the Multiple Depot Vehicle Routing Problem with Time Windows (MDVRPTW) is presented. A multiagent system of interacting trucks, depots and orders is considered. For limiting the intensity of negotiations, a Delaunay triangulation-based scene structure is proposed. As demonstrated below, the solutions obtained by the new algorithm vary by 10–30% from the well-known best counterparts; however, the speed of calculations is considerably higher, and hence the new algorithm can be applied in real-time systems.
About the authors
V. V. Sazonov
Faculty of Computational Mathematics and Cybernetics
							Author for correspondence.
							Email: sazonov@smartsolutions-123.ru
				                					                																			                												                	Russian Federation, 							Moscow						
P. O. Skobelev
Samara National Research University; Institute for the Control of Complex Systems of Russian Academy of Sciences
														Email: sazonov@smartsolutions-123.ru
				                					                																			                												                	Russian Federation, 							Samara; Samara						
A. N. Lada
SEC Smart Solutions
														Email: sazonov@smartsolutions-123.ru
				                					                																			                												                	Russian Federation, 							Samara						
I. V. Mayorov
SEC Smart Solutions
														Email: sazonov@smartsolutions-123.ru
				                					                																			                												                	Russian Federation, 							Samara						
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