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Online bin packing problem with buffer and bounded size revisited

Author

Listed:
  • Minghui Zhang

    (Dalian University of Technology
    Dalian Neusoft University of Information)

  • Xin Han

    (Dalian University of Technology)

  • Yan Lan

    (Dalian University of Technology
    Dalian Neusoft University of Information)

  • Hing-Fung Ting

    (University of Hong Kong)

Abstract

In this paper we study the online bin packing with buffer and bounded size, i.e., there are items with size within $$(\alpha ,1/2]$$ ( α , 1 / 2 ] where $$0 \le \alpha

Suggested Citation

  • Minghui Zhang & Xin Han & Yan Lan & Hing-Fung Ting, 2017. "Online bin packing problem with buffer and bounded size revisited," Journal of Combinatorial Optimization, Springer, vol. 33(2), pages 530-542, February.
    • Handle: RePEc:spr:jcomop:v:33:y:2017:i:2:d:10.1007_s10878-015-9976-5
    DOI: 10.1007/s10878-015-9976-5
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    References listed on IDEAS

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    1. Kurt Eisemann, 1957. "The Trim Problem," Management Science, INFORMS, vol. 3(3), pages 279-284, April.
    2. Gyorgy Dosa & Zsolt Tuza & Deshi Ye, 2013. "Bin packing with “Largest In Bottom” constraint: tighter bounds and generalizations," Journal of Combinatorial Optimization, Springer, vol. 26(3), pages 416-436, October.
    3. Feifeng Zheng & Li Luo & E. Zhang, 2015. "NF-based algorithms for online bin packing with buffer and bounded item size," Journal of Combinatorial Optimization, Springer, vol. 30(2), pages 360-369, August.
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    Cited by:

    1. József Békési & Gábor Galambos, 2018. "Tight bounds for NF-based bounded-space online bin packing algorithms," Journal of Combinatorial Optimization, Springer, vol. 35(2), pages 350-364, February.

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