Abstract
In this paper, a new Ant System approach to the Period Vehicle Routing Problem (PVRP) is presented. In PVRP, visit days have to be assigned to customers in order to find efficient routes over the period. We suggest a new technique for defining the initial solution and a novel strategy to update the pheromone trails that is especially suited for solving large scale problems. An illustrative example for a waste collection system involving 202 localities in the municipality of Viseu, Portugal, demonstrates the effectiveness of the model.
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References
Beltrami, E.J., Bodin, L.D.: Networks and vehicle routing for municipal waste collection. Networks 4, 65–94 (1974)
Bullnheimer, B., Hartl, R.F., Strauss, C.: An improved ant system algorithm for the vehicle routing problem. Annals of Operations Research 89, 319–328 (1999)
Bullnheimer, B., Hartl, R.F., Strauss, C.: A new rank based version of the ant system: a computational study. Working Paper No.1,SFB Adaptative Information Systems and Modelling in Economics and Management Science, Vienna (1997)
Chao, I.M., Golden, B.L., Wasil, E.A.: An improved heuristic for the period vehicle routing problem. Networks 26, 25–44 (1995)
Clarke, G., Wright, J.W.: Scheduling of vehicles from a central depot to a number of delivery points. Operations Research 12, 568–581 (1964)
Colorni, A., Dorigo, M., Maniezzo, V.: Distributed optimization by ant colonies. In: Varela, F., Bourgine, P. (eds.) Proc.Europ. Conf. Artificial Life, pp. 134–142. Elsevier, Amsterdam (1992)
Cordeau, J.F., Gendreau, M., Laporte, G.: A tabu search heuristic for periodic and multi-depot vehicle routing problems. Networks 30, 105–119 (1997)
Dorigo, M., Gambardella, L.M.: Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation 1(1), 53–66 (1997)
Dorigo, M., Maniezzo, V., Colorni, A.: The ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man and Cybernetics - Part B 26(1), 29–41 (1996)
Doerner, K.F., Gronalt, M., Hartl, R.F., Reimann, M.: Optimizing pickup and delivery operations in a hub network with ant systems. POM Working Paper 02/2000, University of Vienna, Vienna, Austria (2000)
Osman, H.: Metastrategy simulated annealing and tabu search algorithms for vehicle routing problem. Annals of Opertations Research 41, 412–451 (1993)
Reimann, M., Stummer, M., Doerner, K.: A savings based ant system for the vehicle routing problem. In: Proc. of the Genetic and Evolutionary Computation Conference, pp. 1317–1362 (2002)
Russell, R.A., Gribbin, D.: A multiphase approach to the period routing problem. Networks 21, 747–765 (1991)
Vianna, D., Ochi, L., Drummond, L.: A parallel hybrid evolutionary metaheuristic for the period vehicle routing problem. In: Proc. IPDPS (1999)
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© 2004 Springer-Verlag Berlin Heidelberg
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Matos, A.C., Oliveira, R.C. (2004). An Experimental Study of the Ant Colony System for the Period Vehicle Routing Problem. In: Dorigo, M., Birattari, M., Blum, C., Gambardella, L.M., Mondada, F., Stützle, T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2004. Lecture Notes in Computer Science, vol 3172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28646-2_26
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DOI: https://doi.org/10.1007/978-3-540-28646-2_26
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