Abstract
Dial-a-Ride problems (DARPs) arise in many urban transportation applications. The core of a DARP is a pick and delivery routing with multiple vehicles in which customers have ride-time constraints and routes have a maximum duration. This paper considers DARPs for which the objective is to minimize the routing cost, a complex optimization problem which has been studied extensively in the past. State-of-the-art approaches include sophisticated tabu search and variable neighborhood search. This paper presented a simple constraint-based large neighborhood search, which uses constraint programming repeatedly to find good reinsertions for randomly selected sets of customers. Experimental evidence shows that the approach is competitive in finding best-known solutions and reaches high-quality solutions significantly faster than the state of the art.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Baugh, J., John, W.K., Reddy, G.K., Stone, J.R.: Intractability of the dial-a-ride problem and a multiobjective solution using simulated annealing. Engineering Optimization 30, 91–123 (1998)
Bent, R., Hentenryck, P.V.: A two-stage hybrid algorithm for pickup and delivery vehicle routing problems with time windows. Comput. Oper. Res. 33, 875–893 (2006)
Bent, R., Van Hentenryck, P.: A two-stage hybrid local search for the vehicle routing problem with time windows. Transportation Science 38, 515–530 (2004)
Berbeglia, G., Cordeau, J.-F., Laporte, G.: A hybrid tabu search and constraint programming algorithm for the dynamic dial-a-ride problem. Submitted to INFORMS Journal on Computing (2010)
Berbeglia, G., Pesant, G., Rousseau, L.-M.: Checking the feasibility of dial-a-ride instances using constraint programming. Transportation Science (2010)
Berbeglia, G., Pesant, G., Rousseau, L.-M.: Feasibility of the pickup and delivery problem with fixed partial routes: A complexity analysis. Submitted to Transportation Science (2010)
Cordeau, J.-F., Laporte, G.: A tabu search heuristic for the static multi-vehicle dial-a-ride problem. Transportation Research Part B: Methodological 37(6), 579–594 (2003)
Cordeau, J.-F., Laporte, G.: The dial-a-ride problem: models and algorithms. Annals of Operations Research 153, 29–46 (2007), 10.1007/s10479-007-0170-8
Glover, F.: Ejection chains, reference structures and alternating path methods for traveling salesman problems. Discrete Applied Mathematics 65(1-3), 223–253 (1996); First International Colloquium on Graphs and Optimization
Jorgensen, R.M., Larsen, J., Bergvinsdottir, K.B.: Solving the dial-a-ride problem using genetic algorithms. Journal of the Operational Research Society 58(11), 1321–1331 (2007)
Parragh, S.N., Doerner, K.F., Hartl, R.F.: Variable neighborhood search for the dial-a-ride problem. Computers & Operations Research 37(6), 1129–1138 (2010)
Shaw, P.: Using constraint programming and local search methods to solve vehicle routing problems. In: Maher, M.J., Puget, J.-F. (eds.) CP 1998. LNCS, vol. 1520, pp. 417–431. Springer, Heidelberg (1998)
Toth, P., Vigo, D.: Heuristic algorithms for the handicapped persons transportation problem. Transportation Science, 60–71 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jain, S., Van Hentenryck, P. (2011). Large Neighborhood Search for Dial-a-Ride Problems. In: Lee, J. (eds) Principles and Practice of Constraint Programming – CP 2011. CP 2011. Lecture Notes in Computer Science, vol 6876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23786-7_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-23786-7_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23785-0
Online ISBN: 978-3-642-23786-7
eBook Packages: Computer ScienceComputer Science (R0)