• DocumentCode
    530296
  • Title

    The 6 key elements to SCLP block building approaches

  • Author

    Weng, Yujian ; Guo, Songshan ; Zhu, Wenbin ; Lim, Andrew ; Oon, Wee-Chong

  • Author_Institution
    Dept. of Comput. Sci., Zhong Shan (Sun Yat-Sen) Univ., Guangzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    17-19 Sept. 2010
  • Abstract
    The aim of the Single Container Loading Problem is to pack three-dimensional boxes into a three-dimensional container so as to maximize the volume utilization of the container. Many recently developed, successful techniques for this problem share a similar structure involving the use of blocks of boxes. However, each technique comprises several seemingly disparate parts, which makes it difficult to analyze these techniques in a systematic manner. In this paper, we explain the 6 key elements in block building approaches, namely 1) how to represent free space in a container; 2) how to generate a list of blocks; 3) how to select a free space; 4) how to select a block; 5) how to place the selected block into the selected space; and 6) what is the overarching search strategy. All block building approaches only differ in the strategies used for each decision. Aided by this understanding, we selected some of the most effective strategies from existing literature for each decision, and combined those strategies into an effective greedy heuristic for the SCLP problem. Experiments show that our approach outperforms all other existing approaches.
  • Keywords
    containerisation; containers; decision making; greedy algorithms; loading; search problems; SCLP; block building approach; decision making; greedy heuristic; overarching search strategy; single container loading problem; Cities and towns; 3D packing; block building; greedy heuristic; incomplete tree search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Educational and Information Technology (ICEIT), 2010 International Conference on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-8033-3
  • Electronic_ISBN
    978-1-4244-8035-7
  • Type

    conf

  • DOI
    10.1109/ICEIT.2010.5607657
  • Filename
    5607657