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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 55))

Abstract

The term dynamic transportation problems refers to a wide range of problems where the required information is not given a priori to the decision maker but is revealed concurrently with the decision-making process. Among the most important problems belonging to this group are routing problems, which involve dynamic decision making with respect to vehicle routing in response to the flow of customer demands. The goal of such routing is to provide the required transportation with minimal service cost subject to various constraints. The paper proposes an approach to the dynamic vehicle routing problem based on multi-agent paradigm.

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References

  1. Barbucha, D., Czarnowski, I., Jȩdrzejowicz, P., Ratajczak, E., Wierzbowska, I.: An Implementation of the JADE-based A-Team Environment. International Transactions on Systems Science and Applications 3(4), 319–328 (2008)

    Google Scholar 

  2. Burckert, H.J., Fischer, K., Vierke, G.: Holonic Transport Scheduling with TeleTruck. Journal of Applied Artificial Intelligence 14, 697–725 (2000)

    Article  Google Scholar 

  3. Gillett, B.E., Miller, L.R.: A heuristic algorithm for the vehicle dispatch problem. Operations Research 22, 240–349 (1974)

    Article  Google Scholar 

  4. van Hentenryck, P.: Online Stochastic Combinatorial Optimization. MIT Press, Cambridge (2006)

    Google Scholar 

  5. Kozlak, J., Creput, J.C., Hilaire, V., Koukam, A.: Multi-agent environment for dynamic transport planning and scheduling. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2004. LNCS, vol. 3038, pp. 638–645. Springer, Heidelberg (2004)

    Google Scholar 

  6. Laporte, G., Gendreau, M., Potvin, J., Semet, F.: Classical and modern heuristics for the vehicle routing problem. International Transactions in Operational Research 7, 285–300 (2000)

    Article  MathSciNet  Google Scholar 

  7. Larsen, A.: The on-line vehicle routing problem. Ph.D. Thesis, Institute of Mathematical Modelling, Technical University of Denmark (2001)

    Google Scholar 

  8. Lund, K., Madsen, O.B.G., Rygaard, J.M.: Vehicle routing problems with varying degrees of dynamism. Technical report, Institute of Mathematical Modelling, Technical University of Denmark (1996)

    Google Scholar 

  9. Smith, R.G.: The Contract Net Protocol: High Level Communication and Control in a Distributed Problem Solver. IEEE Transactions on Computers 29(12), 1104–1113 (1980)

    Article  Google Scholar 

  10. Thangiah, S.R., Shmygelska, O., Mennell, W.: An agent architecture for vehicle routing problem. In: Proc. of the ACM Symposium on Applied Computing (SAC 2001), Las Vegas, pp. 517–521 (2001)

    Google Scholar 

  11. OR-Library, http://people.brunel.ac.uk/~mastjjb/jeb/orlib/vrpinfo.html

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© 2009 Springer-Verlag Berlin Heidelberg

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Barbucha, D., Jȩdrzejowicz, P. (2009). Agent-Based Approach to the Dynamic Vehicle Routing Problem. In: Demazeau, Y., Pavón, J., Corchado, J.M., Bajo, J. (eds) 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). Advances in Intelligent and Soft Computing, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00487-2_18

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  • DOI: https://doi.org/10.1007/978-3-642-00487-2_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00486-5

  • Online ISBN: 978-3-642-00487-2

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