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International Conference on Intelligent Data Engineering and Automated Learning

IDEAL 2013: Intelligent Data Engineering and Automated Learning – IDEAL 2013 pp 401–408Cite as

An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8206))

Abstract

The 3D bin packing problem (3DBPP) is a practical problem modeled from modern industry application such as container ship loading and plane cargo management. Unlike traditional bin packing problem where all bins are of the same size, this paper investigates a more general type of 3DBPP with bins of various sizes. We proposed a modified univariate marginal distribution algorithm (UMDA) for solving the problem. A packing strategy derived from a deepest bottom left packing method was employed. The modified UMDA was experimentally compared with CPLEX and a genetic algorithm (GA) approach. The experimental study showed that the proposed algorithm performed better than GA and CPLEX for large-scale instances.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, University of Science and Technology of China, 230026, Hefei, China

    Yaxiong Cai, Huaping Chen & Rui Xu

  2. School of WTO Research & Education, Shanghai University of International Business and Economics, 200336, Shanghai, China

    Hao Shao

  3. Department of Industrial and Information Engineering, University of Tennessee, Knoxville, TN, 37996-0700, USA

    Xueping Li

Authors
  1. Yaxiong Cai
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  2. Huaping Chen
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  3. Rui Xu
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  4. Hao Shao
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  5. Xueping Li
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  2. University of Science and Technology of China, Hefei, China

    Ke Tang

  3. Nanjing University, Nanjing, China

    Yang Gao

  4. Ostfalia University of Applied Sciences, 38302, Wolfenbüttel, Germany

    Frank Klawonn

  5. Kyungpook National University, 702-701, Buk-Gu, Daegu, Korea

    Minho Lee

  6. Nature Inspired Computational and Applications Laboratory, School of Computer Science and Technology,, University of Science and Technology of China, 230027, Hefei, China

    Thomas Weise

  7. University of Science and Technology of China, 230017, Hefei, China

    Bin Li

  8. CERCIA, School of Computer Science, University of Birmingham, B15 2TT, Edgbaston, Birmingham, UK

    Xin Yao

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Cai, Y., Chen, H., Xu, R., Shao, H., Li, X. (2013). An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes. In: Yin, H., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2013. IDEAL 2013. Lecture Notes in Computer Science, vol 8206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41278-3_49

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  • DOI: https://doi.org/10.1007/978-3-642-41278-3_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41277-6

  • Online ISBN: 978-3-642-41278-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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