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A Greedy Look-Ahead Heuristic for the Container Relocation Problem

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Recent Trends in Applied Artificial Intelligence (IEA/AIE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7906))

Abstract

This paper addresses a classic problem in the container storage and transportation, the container relocation problem. For a given layout of a container bay, the containers should be retrieved in a predefined order, the best operation plan with fewest crane operations is going to be determined. We develop a greedy look-ahead heuristic for this particular purpose. Comparing with existing approaches presented from literature, our heuristic provides better solutions than best known solutions in shorter computational time.

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References

  1. Kim, K.H., Hong, G.P.: A heuristic rule for relocating blocks. Computers & Operations Research 33(4), 940–954 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  2. Caserta, M., Voß, S., Sniedovich, M.: Applying the corridor method to a blocks relocation problem. OR Spectrum 33(4), 915–929 (2011)

    Article  MATH  Google Scholar 

  3. Caserta, M., Voß, S.: A cooperative strategy for guiding the corridor method. In: Krasnogor, N., Melián-Batista, M.B., Pérez, J.A.M., Moreno-Vega, J.M., Pelta, D.A. (eds.) NICSO 2008. SCI, vol. 236, pp. 273–286. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  4. Caserta, M., Voß, S.: Corridor selection and fine tuning for the corridor method. In: Stützle, T. (ed.) LION 3. LNCS, vol. 5851, pp. 163–175. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  5. Zhu, W., Qin, H., Lim, A., Zhang, H.: Iterative deepening a* algorithms for the container relocation problem. IEEE Transactions on Automation Science and Engineering 9(4), 710–722 (2012)

    Article  Google Scholar 

  6. Forster, F., Bortfeldt, A.: A tree search procedure for the container relocation problem. Computers & Operations Research 39(2), 299–309 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  7. Lee, Y., Lee, Y.J.: A heuristic for retrieving containers from a yard. Computers & Operations Research 37(6), 1139–1147 (2010)

    Article  MATH  Google Scholar 

  8. Bortfeldt, A., Forster, F.: A tree search procedure for the container pre-marshalling problem. European Journal of Operational Research 217(3), 531–540 (2012)

    Article  MathSciNet  MATH  Google Scholar 

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Jin, B., Lim, A., Zhu, W. (2013). A Greedy Look-Ahead Heuristic for the Container Relocation Problem. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_19

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  • DOI: https://doi.org/10.1007/978-3-642-38577-3_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38576-6

  • Online ISBN: 978-3-642-38577-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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