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An Efficient Algorithm for Solving the Container Loading Problem

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Book cover Combinatorics, Algorithms, Probabilistic and Experimental Methodologies (ESCAPE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4614))

Abstract

We present a new algorithm for the three-dimensional packing problem with a single container to be loaded. Deviates from the traditional approaches, it uses a principle —— “largest caving degree” such that items are packed as closely as possible. Then, it incorporates a backtracking strategy that gains a good trade-off between solution quality and computation time. We tested our algorithm using all the 47 related benchmarks from the OR-Library that have no orientation constraints. Experiments indicate the algorithm’s good quality. The container volume utilization, achieved within comparable time, is 94.6% on average. This significantly improves current best-known results in the literature by 3.6%.

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References

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Bo Chen Mike Paterson Guochuan Zhang

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© 2007 Springer-Verlag Berlin Heidelberg

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Huang, W., He, K. (2007). An Efficient Algorithm for Solving the Container Loading Problem. In: Chen, B., Paterson, M., Zhang, G. (eds) Combinatorics, Algorithms, Probabilistic and Experimental Methodologies. ESCAPE 2007. Lecture Notes in Computer Science, vol 4614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74450-4_36

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  • DOI: https://doi.org/10.1007/978-3-540-74450-4_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74449-8

  • Online ISBN: 978-3-540-74450-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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