Agent-Based Dispatching Enables Autonomous Groupage Traffic

[1] M. Gendreau, “Vehicle Routing Problem with TimeWindows, Part I: Route Construction and Local Search Algorithms,” Transportation Science, vol. 39, no. 1, pp. 104-118, 2005.10.1287/trsc.1030.0056Search in Google Scholar

[2] M. Gendreau and O. Brysy, “Vehicle Routing Problem with Time Windows, Part II: Metaheuristics,” Transportation Science, vol. 39, pp. 119-139, 2005.10.1287/trsc.1030.0057Search in Google Scholar

[3] O. Brysy, W. Dullaert, and M. Gendreau, “Evolutionary Algorithms for the Vehicle Routing Problem with Time Windows,” J. Heuristics, vol. 10, pp. 587-611, 2004.10.1007/s10732-005-5431-6Search in Google Scholar

[4] J. Homberger and H. Gehring, “A Two-Phase Hybrid Metaheuristic for the Vehicle Routing Problem with TimeWindows,” European Journal of Operational Research, vol. 162, pp. 220-238, 2005.10.1016/j.ejor.2004.01.027Search in Google Scholar

[5] B. Golden, S. Raghavan, and E. Wasil, The Vehicle Routing Problem: Latest Advances and New Challenges. Springer Verlag, 2008.10.1007/978-0-387-77778-8Search in Google Scholar

[6] M. Dorigo and L. Gambardella, “Ant colonies for the traveling salesman problem,” 1996.10.1016/S0303-2647(97)01708-5Search in Google Scholar

[7] B. Scholz-Reiter, K. Windt, J. Kolditz, F. B¨ose, T. Hildebrandt, T. Philipp, and H. H¨ohns, “New Concepts of Modelling and Evaluating Autonomous Logistic Processes,” in IFAC Manufacturing, Modelling, Management and Control, G. Chryssolouris and M. D, Eds. Athens, Greece: Elsevier, 2004.Search in Google Scholar

[8] T. Warden, R. Porzel, J. D. Gehrke, O. Herzog, H. Langer, and R. Malaka, “Towards Ontologybased Multiagent Simulations: The PlaSMA Approach,” in European Conference on Modelling and Simulation (ECMS), A. Bargiela, S. Azam Ali, D. Crowley, and E. J. Kerckhoffs, Eds., 2010, pp. 50 - 56.10.7148/2010-0050-0056Search in Google Scholar

[9] M.Wooldridge, “Intelligent Agents,” in Multiagent Systems. A Modern Approach to Distributed Artificial Intelligence, G. Weiss, Ed. MIT Press, 1999, pp. 27 - 77.Search in Google Scholar

[10] K. Dorer and M. Calisti, “An Adaptive Solution to Dynamic Transport Optimization,” in International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS), ACM. ACM Press, 2005, pp. 45-51.10.1145/1082473.1082803Search in Google Scholar

[11] J. Himoff, G. Rzevski, and P. Skobelev, “Multi- Agent Logistics i-Scheduler for Road Transportation,” in International Conference on Autonomous Agents and Multi Agent Systems (AAMAS), 2006, pp. 1514-1521.10.1145/1160633.1160927Search in Google Scholar

[12] A. Schuldt, Multiagent Coordination Enabling Autonomous Logistics. Springer Verlag, 2011.10.1007/978-3-642-20092-2Search in Google Scholar

[13] J. O. Berndt and O. Herzog, “Distributed Learning of Equilibrium Strategies in Concurrent Iterated Many-issue Negotiations,” in Multiagent System Technologies (MATES). Berlin: Springer, 2012.10.1007/978-3-642-33690-4_4Search in Google Scholar

[14] K. Fischer, J. P. M¨uller, and M. Pischel, “Cooperative Transportation Scheduling: An Application Domain for DAI,” Journal of Applied Artificial Intelligence, vol. 10, pp. 1-33, 1995.10.1080/088395196118669Search in Google Scholar

[15] H.-J. B¨urckert, K. Fischer, and G. Vierke, “Applied Artificial Intelligence : An Holonic Transport Scheduling with Teletruck,” Applied Artificial Intelligence, vol. 14, no. 7, pp. 697 - 725, 2000.10.1080/08839510050119253Search in Google Scholar

[16] P. Skobelev, “Multi-agent systems for real time resource allocation, scheduling, optimization and controlling: Industrial applications,” in Holonic and Multi-Agent Systems for Manufacturing (HOLOMAS), 2011, pp. 1-14.10.1007/978-3-642-23181-0_1Search in Google Scholar

[17] M. H¨ulsmann, B. Scholz-Reiter, and K. Windt, Eds., Autonomous Cooperation and Control in Logistics: Contributions and Limitations - Theoretical and Practical Perspectives. Berlin: Springer- Verlag, 2011.Search in Google Scholar

[18] J. MacQueen, “Some Methods for Classification and Analysis of Multivariate Observations,” 5th Berkeley Symp. Math. Statist. Prob., vol. 1, pp. 281 - 297, 1967.Search in Google Scholar

[19] N. Christofides, “Worst-case analysis of a new heuristic for the travelling salesman problem,” Graduate School of Industrial Administration, Carnegie-Mellon University, Tech. Rep. 388, 1976.Search in Google Scholar

[20] R. Baldacci, A. Mingozzi, and R. Roberti, “Recent exact algorithms for solving the vehicle routing problem under capacity and time window constraints,” European Journal of Operational Research, vol. 218, no. 1, pp. 1-6, 2012.10.1016/j.ejor.2011.07.037Search in Google Scholar

[21] Foundation for Intelligent Physical Agents, “FIPA Contract Net Interaction Protocol Specification,” Geneva, Switzerland, Standard No. SC00029H, 2002.Search in Google Scholar

[22] N. R. Jenninges, “An Agent-Based Approach for Building Complex Software Systems,” Communication of the ACM, vol. 44, no. 4, pp. 35 - 41, 2001.10.1145/367211.367250Search in Google Scholar

[23] F. Bellifemine, G. Caire, and D. Greenwood, Developing Multi-Agent Systems with JADE. Chichester, UK: John Wiley & Sons, 2007.10.1002/9780470058411Search in Google Scholar

[24] J. D. Gehrke, A. Schuldt, and S. Werner, “Quality Criteria for Multiagent-Based Simulations with Conservative Synchronisation,” in 13th ASIM Dedicated Conference on Simulation in Production and Logistics, M. Rabe, Ed., Citeseer. Stuttgart: Fraunhofer IRB Verlag, 2008, pp. 545-554.Search in Google Scholar

[25] E.W. Dijkstra, “A note on two problems in connexion with graphs.” Numerische Mathematik, vol. 1, pp. 269-271, 1959.10.1007/BF01386390Search in Google Scholar

[26] R. K. Ahuja, K. Mehlhorn, J. Orlin, and R. Tarjan, “Faster Algorithms for the Shortest Path Problem,” Journal of the ACM, vol. 37, no. 2, pp. 213-223, Apr. 1990.10.1145/77600.77615Search in Google Scholar

[27] M. a. Krajewska, H. Kopfer, G. Laporte, S. Ropke, and G. Zaccour, “Horizontal Cooperation among Freight Carriers: Request Allocation and Profit Sharing,” Journal of the Operational Research Society, vol. 59, no. 11, pp. 1483-1491, Sep. 2007.Search in Google Scholar