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The RHSA strategy for the allocation of outbound containers based on the hybrid genetic algorithm

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Abstract

Secure storage yard is one of the optimal core goals of container transportation; thus, making the necessary storage arrangements has become the most crucial part of the container terminal management systems (CTMS). This paper investigates a random hybrid stacking algorithm (RHSA) for outbound containers that randomly enter the yard. In the first stage of RHSA, the distribution among blocks was analyzed with respect to the utilization ratio. In the second stage, the optimization of bay configuration was carried out by using the hybrid genetic algorithm. Moreover, an experiment was performed to test the RHSA. The results show that the explored algorithm is useful to increase the efficiency.

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Authors and Affiliations

  1. Logistics Research Center, Shanghai Maritime University, Shanghai, 201306, China

    Meilong Le & Hang Yu

Authors
  1. Meilong Le
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  2. Hang Yu
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Corresponding author

Correspondence to Hang Yu.

Additional information

Foundation item: Supported by the Research Grants from Shanghai Municipal Natural Science Foundation (No. 10190502500), Shanghai Maritime University Start-up Funds, Shanghai Science & Technology Commission Projects (No. 09DZ2250400), and Shanghai Education Commission Project (No. J50604).

Meilong Le professor, PhD supervisor. Serve as the vice president of Scientific Research in Shanghai Maritime University. He served as the vice present of Logistics Institute of China and the United States in 2005, evaluation experts of 863 and 973 projects. He majors in supply chain management of container port and airline operations and scheduling.

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Le, M., Yu, H. The RHSA strategy for the allocation of outbound containers based on the hybrid genetic algorithm. J. Marine. Sci. Appl. 12, 344–350 (2013). https://doi.org/10.1007/s11804-013-1200-3

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  • DOI: https://doi.org/10.1007/s11804-013-1200-3

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