Volume 14 Issue 5
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2014  >  14(5): 59-67
ZHU Hui-ling, JI Ming-jun. Optimal model and improved genetic algorithm of containership stowage on full route[J]. Journal of Traffic and Transportation Engineering, 2014, 14(5): 59-67.
Citation: ZHU Hui-ling, JI Ming-jun. Optimal model and improved genetic algorithm of containership stowage on full route[J]. Journal of Traffic and Transportation Engineering, 2014, 14(5): 59-67.
shu

Optimal model and improved genetic algorithm of containership stowage on full route

  • School of Transportation Management, Dalian Maritime University, Dalian 116026, Liaoning, China

More Information
  • Author Bio:

    ZHU Huir-ling(1989-), female, doctoral student, +86-411-84729330, zhl891015good@163.com

    JI Ming-jun(1973-), male, professor, PhD, +86-411-84729330, jmj@dlmu.edu.cn

  • Received Date: 2014-05-07
  • Publish Date: 2014-10-25
    Abstract
  • The stability, strength and load of containership were taken as constraint conditions, the minimum shift and the optimal trim on full route were taken as objective functions, and the multi-objective optimal model of containership stowage on full route was established.The initial feasible solution was obtained by using heuristic algorithm and was optimized by using improved genetic algorithm, and the example verification was carried out on the practical containership with capacity of 1 841 TEU and 3 hatches.Calculation result shows that by using the improved genetic algorithm, the stowage plans of 5 call ports can be obtained within 1.967 s, and the reasonable solution in each port can be obtained compared with traditional genetic algorithm.In the obtained reasonable solutions, all the shift amounts are 0, and the absolute values of trim are 0.003 5, 0.000 8, 0.109 7, 0.001 1 and 0.371 2 mrespectively, which are within a reasonable range between 0 to 0.5 m.For the other routes of call ports with different amounts, the reasonable stowage plan can be highly achieved within 5 s by using the improved genetic algorithm.So, the optimal model and improved genetic algorithm are feasible.

     

    • FullText(HTML)
  • loading
    • References(19)
  • [1]
    AVRIEL M, PENN M, SHPIRER N, et al. Stowage planning for container ships to reduce the number of shifts[J]. Annals of Operations Research, 1998, 76 (1): 55-71.
    [2]
    AVRIEL M, PENN M, SHPIRER N. Container ship stowage problem: complexity and connection to the coloring of circle graphs[J]. Discrete Applied Mathematics, 2000, 103 (1): 271-279.
    [3]
    WILSON I D, ROACH P A. Principles of combinatorial optimization applied to container-ship stowage planning[J]. Journal of Heuristics, 1999, 5 (4): 403-418. doi: 10.1023/A:1009680305670
    [4]
    WILSON I D, ROACH P A. Container stowage planning: a methodology for generating computerized solutions[J]. Journal of the Operational Research Society, 2000, 51 (11): 1248-1255. doi: 10.1057/palgrave.jors.2601022
    [5]
    WILSON I D, ROACH P A, WARE J A. Container stowage pre-planning: using search to generate solutions, a case study[J]. Knowledge-Based System, 2001, 14 (3): 137-145.
    [6]
    IMAI A, SASAKI K, NISHIMURA E, et al. Multi-objective simultaneous stowage and load planning for a container ship with container rehandle in yard stacks[J]. European Journal of Operational Research, 2006, 171 (2): 373-389. doi: 10.1016/j.ejor.2004.07.066
    [7]
    TIERNEY K, PACINO D, JENSEN R M. On the complexity of container stowage planning problems[J]. Discrete Applied Mathematics, 2014, 169 (2): 225-230.
    [8]
    DELGADO A, JENSEN R M, JANSREUP K, et al. A constraint programming model for fast optimal stowage of container vessel bays[J]. European Journal of Operational Research, 2012, 220 (1): 251-261. doi: 10.1016/j.ejor.2012.01.028
    [9]
    AMBROSINO D, SCIOMACHEN A, TANFANI E. Stowing a containership: the master bay plan problem[J]. Transportation Research Part A: Policy and Practice, 2004, 38 (2): 81-99. doi: 10.1016/j.tra.2003.09.002
    [10]
    AMBROSINO D, SCIOMACHEN A, TANFANI E. A decomposition heuristics for the container ship stowage problem[J]. Journal of Heuristics, 2006, 12 (3): 211-233. doi: 10.1007/s10732-006-5905-1
    [11]
    PACINO D, DELGADO A, JENSEN R M. Fast generation of near-optimal plans for eco-efficient stowage of large container vessels[C]//Springer. Proceedings of the Second International Conference on Computational Logistics. Berlin: Springer, 2011: 286-301.
    [12]
    JOHN A, YANG Zai-li, RIAHI R, et al. Application of a collaborative modelling and strategic fuzzy decision support system for selecting appropriate resilience strategies for seaport operations[J]. Journal of Traffic and Transportation Engineering: English Edition, 2014, 1 (3): 159-179. doi: 10.1016/S2095-7564(15)30101-X
    [13]
    SCIOMACHEN A, TANFANI E. A 3D-BPP approach for optimizing stowage plans and terminal productivity[J]. European Journal of Operational Research, 2007, 183 (3): 1433-1446. doi: 10.1016/j.ejor.2005.11.067
    [14]
    MONACO M F, SAMMARRA M, SORRENTINO G. The terminal-oriented ship stowage planning problem[J]. European Journal of Operational Research, 2014, 239 (1): 256-265. doi: 10.1016/j.ejor.2014.05.030
    [15]
    孙晓雅, 林焰. 集装箱船多港Bay位排箱的优化方法[J]. 大连海事大学学报, 2011, 37 (1): 9-13. https://www.cnki.com.cn/Article/CJFDTOTAL-DLHS201101020.htm

    SUN Xiao-ya, LIN Yan. Multi-port bay layout optimization method for container ships[J]. Journal of Dalian Maritime University, 2011, 37 (1): 9-13. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DLHS201101020.htm
    [16]
    曾庆成, 杨忠振, 陆靖. 集装箱码头同贝同步装卸调度模型与算法[J]. 交通运输工程学报, 2010, 10 (1): 88-93. doi: 10.3969/j.issn.1671-1637.2010.01.016

    ZENG Qing-cheng, YANG Zhong-zhen, LU Jing. Scheduling model and algorithm of integrating loading and unloading operations in same ship-bay at container terminal[J]. Journal of Traffic and Transportation Engineering, 2010, 10 (1): 88-93. (in Chinese). doi: 10.3969/j.issn.1671-1637.2010.01.016
    [17]
    DUBROVSKY O, LEVITIN G, PENN M. A genetic algorithm with a compact solution encoding for the container ship stowage problem[J]. Journal of Heuristics, 2002, 8 (6): 585-599. doi: 10.1023/A:1020373709350
    [18]
    靳志宏, 兰辉, 郭贝贝. 基于现实约束的集装箱配载优化及可视化[J]. 系统工程理论与实践, 2010, 30 (9): 1722-1728. https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL201009028.htm

    JIN Zhi-hong, LAN Hui, GUO Bei-bei. Optimization and visualization of the container loading problems with realistic constraints[J]. Systems Engineering—Theory and Practice, 2010, 30 (9): 1722-1728. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL201009028.htm
    [19]
    孙俊清, 陈忱, 刘凤连. 考虑船舶稳定性的多港口集装箱配载问题[J]. 计算机工程与应用, 2012, 48 (32): 236-243. doi: 10.3778/j.issn.1002-8331.1104-0575

    SUN Jun-qing, CHEN Chen, LIU Feng-lian. On stowage planning for multi-port container transportation based on stability constraint[J]. Computer Engineering and Applications, 2012, 48 (32): 236-243. (in Chinese). doi: 10.3778/j.issn.1002-8331.1104-0575
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (839) PDF downloads(1044) Cited by()
    Proportional views
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return