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

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

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  • 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.

     

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