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Constraints and Genetic Algorithm to Solve Transport Scheduling

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Applications and Innovations in Intelligent Systems VII

Abstract

PISCES is an integrated system for intermodal transport that is focused on the real time exchange of operation critical information via the WWW, and on the transport scheduling. The particular aspect of PISCES dealt with in this paper is the use of that information to provide high-quality scheduling of container traffic using genetic algorithms and constraint satisfaction technology.

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References

  1. Gilles Pesant, Michel Gendreau, Jean-Yves Potvin and Jean-Marc Rousseau, “An Exact Constraint Logic Programming Algorithm for the Traveling Salesman Problem with Time Windows”Transportation Science 32, 12 - 29 (1998).

    Article  MATH  Google Scholar 

  2. M. Savelsbergh, M. Sol: “The General Pickup and Delivery Problem”. Transportation Science 29, 1995.

    Google Scholar 

  3. F. Arshad, A. El Rhalibi, G. Kelleher, “Information Management within Intermodal Transport Chain Scheduling” EMMSEC’99, June 21–23 1999, Stockholm - Sweden.

    Google Scholar 

  4. A.A. Assad, B.L. Golden. “Vehicle Routing with Time-Window Constraints: Algorithmic Solutions”. American Series in Mathematical and Management Sciences. Vol 15, American Science Press, Inc., Colombus, Ohio. 1986.

    Google Scholar 

  5. J. Lenstra, A. Rinnooy Kan, “Complexity of Vehicle Routing and Scheduling Problems”. Network, 11. 1981.

    Google Scholar 

  6. Smith, S. F., Cheng-Chung, C: “Applying Constraint Satisfaction Techniques to Job-Shop Scheduling”. The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, CMU-RI-TR9–95-03. 1995.

    Google Scholar 

  7. G. Kelleher and J. E. Spragg: “A Discipline for Reactive Rescheduling”. 3rd International Conference on Artificial Intelligence Planning Systems (AIPS-96), AAAI Press, Edinburgh, Scotland, 1996.

    Google Scholar 

  8. D. E. Goldberg: “Genetic Algorithms in Search, Optimization, and Machine Learning”. Addison—Wesley, Reading, Massachusetts, 1989.

    Google Scholar 

  9. Le Pape, C. (1994). “Constrained-Based Programming for Scheduling: An Historical Perspective”. Operations Research Society Seminar on Constraint Handling Techniques, London, UK.

    Google Scholar 

  10. Steven Minton, Mark D.Johnston, Andrew B. Phillips, and Philip Laird, “Solving Large-scale constraint satisfaction and scheduling problems using a heuristic repair method”, AAAI-90 (Boston, MA ), 1990, pp. 1724.

    Google Scholar 

  11. M.M. Solomon, “VRPTW Benchmark Problems”,http://www.cba.neu.edu/-msolomon/problems.htm

  12. Rochat, Y. and Taillard, E.D., Probabilistic diversification and intensification in local search for vehicle routing. Journal of Heuristics, Vol. 1, No. 1, 1995, pp. 147 - 167.

    Article  MATH  Google Scholar 

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© 2000 Springer-Verlag London

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Arshad, F., El-Rhalibi, A., Kelleher, G. (2000). Constraints and Genetic Algorithm to Solve Transport Scheduling. In: Ellis, R., Moulton, M., Coenen, F. (eds) Applications and Innovations in Intelligent Systems VII. Springer, London. https://doi.org/10.1007/978-1-4471-0465-0_16

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  • DOI: https://doi.org/10.1007/978-1-4471-0465-0_16

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-230-3

  • Online ISBN: 978-1-4471-0465-0

  • eBook Packages: Springer Book Archive

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