Description of the classification of publications and the models used in solving of the vehicle routing problem with pickup and delivery

Pedro Pablo Ballesteros Silva | Bio
UNIVERSIDAD TECNOLÓGICA DE PEREIRA
Antonio Hernando Escobar Zuluaga | Bio
UNIVERSIDAD TECNOLÓGICA DE PEREIRA

Abstract

It is presented in this review article, the description of the state of the art of the vehicle routing problem with pickups and deliveries, VRPPD-Vehicle Routing Problem with pickups and deliveries), product obtained from the literature review of most of the models reported in the international technical literature and used for many years by specialized researchers in the field, is presented in this article. This classification considers the different solution methods, the treatment of the problem in time and future trends of the same in its formulation and proposal of new methods of solution, as the metaheuristics caused by the complexity of the problem. Finally, several elements are left to make a discussion about existing and available tools for solving this problem.

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[76] E. Zachariadis, C. Tarantilis, C. Kiranoudis. “A hybrid metaheuristic algorithm for the vehicle routing problem with simultaneous delivery and pick-up service”. European Journal of Operational Research-ELSEVIER, pp. 1074-1086, 2012.

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[79] Y. Gajpal, P. Abad. “An ant colony system (ACS) for vehicle routing problem with simultaneous delivery and pickup”. European Journal of Operational Research-ELSEVIER. Computers & Operations Research, pp. 3215-3223, 2009.

[80] E. Zachariadis, C. Tarantilis, C. Kiranoudis. “An adaptive memory methodology for the vehicle routing problem with simultaneous pick-ups and deliveries”. European Journal of Operational Research-ELSEVIER, pp. 401- 411, 2010.

[81] B. Çatay. “A new saving based ant algorithm for the Vehicle Routing Problem with Simultaneous Pickup and Delivery”. European Journal of Operational Research-ELSEVIER. Experts Systems with Aplications, pp. 6809- 6817, 2010.

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[83] L. Mingyong, C. Erbao. “An improved differential evolution algorithm for vehicle routing problem with simultaneous pickups and deliveries and time windows”. European Journal of Operational Research-ELSEVIER. Engineering Applications of Artificial Intelligence, pp. 188-195, 2010.

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[90] H. Wang, Y. Chen. “A genetic algorithm for the simultaneous delivery and pickup problems with time windows”. European Journal of Operational Research-ELSEVIER. Computers & Industrial Engineering, pp. 84-85, 2012.

[91] H. Wang, Y. Chen. “A coevolutionary algorithm for the flexible delivery and pickup problem with time windows”. European Journal of Operational Research-ELSEVIER. International Journal of Production Economics, pp. 4-13, 2013.

[92] Y. Chen. “Fuzzy Flexible Delivery and Pickup Problem with Time Windows”. European Journal of Operational Research-ELSEVIER. Procedia Computer Science, pp. 379-386, 2013.

[93] M. Şahin, G. Çavuşlar, T. Öncan, G. Şahin, T. Aksu. “An efficient heuristic for the Multivehicle One to one Pickup and Delivery Problem with Split Loads”. European Journal of Operational Research-ELSEVIER. Transportation Research Part C. Emerging Technologies, pp. 169-188, 2013.

[94] C. Ting, X. Liao. “The selective pickup and delivery problem: Formulation and a memetic algorithm”. European Journal of Operational Research-ELSEVIER. International Journal of Production Economics, pp. 199-211, 2013.

[95] F. Goksal, F. Altiparmak, I. Karaoglan. “A Hybrid Particle Swarm Optimization for Vehicle Routing Problem with Simultaneous Pickup and Delivery”. Industrial Engineering and Enginnersing Management. IEEE, pp. 1-6, 2010.

[96] I. Karaoglan, F. Altiparmak. “A Hybrid Genetic Algorithm for the Location Routing Problem with Simultaneous Pickup and Delivery”. Institute of Electrical and Electronics Enginners Management-IEEE.Computers and Industrial Engineering, p.p 1-6, 2010.

[97] F. Zhao, D. Mei, J. Sun, W. Liu. “A hybrid genetic algorithm for the vehicle routing problem with simultaneous pickup and delivery”. Institute of Electrical and Electronics Enginners-IEEE. Control and Decision Conference, p.p 3928-3933, 2009.

[98] N. Zhang, G. Sun, Y. Wu, F. Geng. “A modified particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery”. Institute of Electrical and Electronics Enginners-IEEE. Asian Control Conference, pp. 1679-1684, 2009.

[99] H. Feng-jun, W. Bin. “Quantum Evolutionary Algorithm for Vehicle Routing Problem with Simultaneous Delivery and Pickup”. Institute of Electrical and Electronics Enginners- IEEE. Decision and Control, 28th Chinese Control conference, pp. 5097-5101, 2009.

[100] T. Jin Ai, V. Kachitvichyanukul. “A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery”. European Journal of Operational Research-ELSEVIER, Computers & Operations Research, pp. 1693-1702, 2009.

[101] M. Avci, S. Topaloglu. “A hybrid metaheuristic algorithm for heterogeneous vehicle routing problem with simultaneous pickup and delivery”. Expert Systems with Applications, Volume 53, pp. 160-171, 2016.

[102] S. Mitrović Minić, G. Laporte. “Waiting strategies for the dynamic pickup and delivery problem with time windows”. European Journal of Operational Research-ELSEVIER. Transportation Research Part B. Methodological, pp. 635-655, 2004.

[103] C.K.Y. Lin. “A cooperative strategy for a vehicle routing problem with pickup and delivery time windows”. European Journal of Operational Research-ELSEVIER. Computers & Industrial Engineering, pp. 766-782, 2008.

[104] G. Berbeglia, G. Hahn. “Counting feasible solutions of the traveling salesman problem with pickups and deliveries is NP-complete”. European Journal of Operational Research-ELSEVIER. Discrete Applied Mathematics, pp. 2541-2547, 2009.

[105] D. Männel, A. Bortfeldt. “A hybrid algorithm for the vehicle routing problem with pickup and delivery and three-dimensional loading constraints”. European Journal of Operational Research – ELSEVIER, Volume 254, Issue 3, 1, pp. 840-858, 2016.

[106] R. C. Cruz, T. C. B. Silva, M J. F. Souza, V. N. Coelho, M. T. Mine, A. X. Martins. “GENVNSTS-CL-PR: A heuristic approach for solving the vehicle routing problem with simultaneous”. European Journal of Operational Research- ELSEVIER. Electronics Notes in Discrete Mathematics, pp. 217-224, 2012.

[107] S. N. D’Souza Omkar, J. Senthilnath. “Pickup and delivery problem using metaheuristics techniques”. European Journal of Operational Research-ELSEVIER. Experts Systems with Applications, pp. 328-334, 2012.

[108] R. Liu, X. Xie, V. Augusto, C. Rodríguez. “Heuristic algorithms for a vehicle routing problem with simultaneous delivery and pickup and time windows in home health care”. European Journal of Operational Research-ELSEVIER, p.p 475-486, 2013.

[109] Y. Qu, J. F. Bard. “The heterogeneous pickup and delivery problem with configurable vehicle capacity”. European Journal of Operational Research-ELSEVIER. Transportation Research Part C. Emerging Technologies, pp. 1-20, 2013.

[110] P. Chen, H. Huang, X. Dong. “An Ant Colony System Based Heuristic Algorithm for the Vehicle Routing Problem with Simultaneous Delivery and Pickup”. Institute of Electrical and Electronics Enginners-IEEE. Industrial Electronics and Applications, pp. 136-141, 2007.

[111] T. Zhang, Y. J. Zhang,, Q. I. Chen, Y. Sun. “The Mixed Algorithm for vehicle routing problem with simultaneous pickup and delivery”. Institute of Electrical and Electronics Enginners-IEEE, Machine Learning and Cybernetics, pp. 1871-1876, 2009.

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How to Cite
Ballesteros Silva, P. P., & Escobar Zuluaga, A. H. (2016). Description of the classification of publications and the models used in solving of the vehicle routing problem with pickup and delivery. Revista Ingenierías Universidad De Medellín, 15(28), 287-306. https://doi.org/10.22395/rium.v15n28a14

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