Abstract
The exponential rise in the advances of computing power has opened new domains for better solutions for the different classes of the Vehicle Routing Problems (VRP). This paper sheds some light on the recent work published in this field of interest and provides a classification of different problem structures and the solution methodologies used to tackle every class. The classification is made considering the limited space and to the best of our knowledge. Some of the current applications of the vehicle routing problem are also included in this paper. Finally, a discussion on the possible future directions and conclusion is presented in the last section.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ai TJ, Kachitvichyanukul V (2009a) A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery. Comput Oper Res 36:1693–1702
Ai TJ, Kachitvichyanukul V (2009b) Particle swarm optimization and two solution representations for solving the capacitated vehicle routing problem. Comput Ind Eng 56:380–387
Baker B, Ayechew M (2003) A genetic algorithm for the vehicle routing problem. Comput Oper Res 30:787–800
Baldacci R, Mingozzi A, Roberti R (2012) Recent exact algorithm for solving the vehicle routing problem under capacity and time windows. Eur J Oper Res 281:1–6
Barnhart C, Laporte G (eds) Vehicle routing. Handbook in OR & MS, vol 14, chap 6. Elsevier, Amsterdam
Bin Y, Zhong-Zhen Y, Baozhen Y (2009) An improved ant colony optimization for vehicle routing problem. Eur J Oper Res 196:171–176
Chan Y, Carter WB, Burnes MD (2001) A multiple-depot, multiple-vehicle, location-routing problem with stochastically processed demands. Comput Oper Res 28:803–826
Dantzig G, Fulkerson D, Johnson D (1954) Solution of large-scale travelling salesman problem. Oper Res 2:393–410
Dantzig G, Ramser J (1959) The truck dispatching problem. Manage Sci 6:80–91
Eksioglu B, Vural AV, Reisman A (2009) The vehicle routing problem: a taxonomic review. Comput Ind Eng 57:1472–1483
Ghose MK, Dikshit AK, Sharma SK (2006) A GIS based transportation model for solid waste disposal—a case study on Asansol municipality. Waste Manag 26:1287–1293
Ghoseiria K, Ghannadpoura SF (2010) Multi-objective vehicle routing problem with time windows using goal programming and genetic algorithm. Appl Soft Comput 10:1096–1107
Godinho M, Gouveia L, Magnanti T (2008) Combined route capacity and route length models for unit demand vehicle routing problems. Discrete Optim 5:350–372
Hadjar A, Soumis F (2009) Dynamic window reduction for the multi-depot vehicle scheduling with time window. Comput Ind Eng 36:2160–2172
Ho SC, Haugland D (2004) A tabu search heuristic for the vehicle routing problem with time windows and split deliveries. Comput Oper Res 31:1947–1964
Ho W, Ho GT, Ji P, Lau H (2008) A hybrid genetic algorithm for the multi-depot vehicle routing problem. Eng Appl Artif Intell 21:548–557
Imai A, Nishimura E, Current J (2007) Lagrangian relaxation-based heuristic for the vehicle routing with full container load. Eur J Oper Res 176:87–105
Kang K, Lee B, Lee Y, Lee Y (2008) A heuristic for the vehicle routing problem with due times. Comput Ind Eng 54:421–431
Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks. pp 1942–1948
Le Bouthillier A, Crainic TG (2005) A cooperative parallel meta-heuristic for the vehicle routing problem with time windows. Comput Oper Res 32:1685–1708
Lin CKY (2008) A cooperative strategy for a vehicle routing problem with pickup and delivery time windows. Comput Ind Eng 55:766–782
Lin CKY, Kwok RCW (2006) Multi-objective metaheuristics for a location-routing problem with multiple use of vehicles on real data and simulated data. Eur J Oper Res 175:1833–1849
Marinakis Y, Marinaki M (2010a) A hybrid genetic—particle swarm optimization algorithm for the vehicle routing problem. Expert Syst Appl 37:1446–1455
Marinakis Y, Marinaki M (2010b) A hybrid multi-swarm particle swarm optimization algorithm for the probabilistic traveling salesman problem. Comput Oper Res 37:432–442
Marinakis Y, Marinaki M, Dounias G (2010) A hybrid particle swarm optimization algorithm for the vehicle routing problem. Eng Appl Artif Intell 23:463–472
Nolz PC, Absi N, Feillet D (2011) Optimization of infectious medical waste collection using RFID. In: Böse JW et al (eds) Proceedings of ICCL 2011, vol 6971. LNCS, pp 86–100
Pisinger D, Ropke S (2007) A general heuristic for vehicle routing problems. Comput Oper Res 34:2403–2435
Rieck J, Zimmermann J (2009) A hybrid algorithm for vehicle routing of less-than-truckload carriers. Geiger MJ et al (eds) Metaheuristics in the service industry. Lecture Notes in Economics and Mathematical Systems, vol 624
Ropke S, Pisinger D (2006) A unified heuristic for a large class of vehicle routing problems with backhauls. Eur J Oper Res 171:750–775
Shi Y, Eberhart RC (1998) A modified particle swarm optimizer. In: Proceedings of IEEE international conference on evolutionary computation, pp 69–73
Subramanian A, Drummonda LMA, Bentes C, Ochi LS, Farias R (2010) A parallel heuristic for the vehicle routing problem with simultaneous pickup and delivery. Comput Oper Res 37:1899–1911
Tang J, Zhang J, Pan Z (2010) A scatter search algorithm for solving vehicle routing problem with loading cost. Expert Syst Appl 37:4073–4083
Tavakkoli-Moghaddam R, Saremi A, Ziaee M (2006) A memetic algorithm for the vehicle routing problem with backhauls. Appl Math Comput 181:1049–1060
Ustundug A, Cevican E (2008) Vehicle routing optimization for RFID integrated waste collection system. Int J Inf Technol Decis Making 7(4):611–625
Wassan NA, Wassan AH, Nagy G (2008) A reactive tabu search algorithm for the vehicle routing problem with simultaneous pickups and deliveries. J Comb Optim 15(368):386
Acknowledgments
This research project is sponsored by the Egyptian ministry of higher education grant and the Japanese International Cooperation Agency (JICA) in the scope of the Egypt Japan University of Science and Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Abdelhalim, A.A., Eltawil, A.B. (2013). Recent Heuristics and Algorithms for Solving the Vehicle Routing Problems. In: Qi, E., Shen, J., Dou, R. (eds) International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012) Proceedings. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38445-5_114
Download citation
DOI: https://doi.org/10.1007/978-3-642-38445-5_114
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38444-8
Online ISBN: 978-3-642-38445-5
eBook Packages: EngineeringEngineering (R0)