Citation:
Meilong Le and Hang Yu.The RHSA Strategy for the Allocation of Outbound Containers Based on the Hybrid Genetic Algorithm[J].Journal of Marine Science and Application,2013,(3):344-350.[doi:10.1007/s11804-013-1200-3]
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The RHSA Strategy for the Allocation of Outbound Containers Based on the Hybrid Genetic Algorithm
Meilong Le and Hang Yu.The RHSA Strategy for the Allocation of Outbound Containers Based on the Hybrid Genetic Algorithm[J].Journal of Marine Science and Application,2013,(3):344-350.[doi:10.1007/s11804-013-1200-3]
Info
- Title:
- The RHSA Strategy for the Allocation of Outbound Containers Based on the Hybrid Genetic Algorithm
- Author(s):
- Meilong Le and Hang Yu
- Affilations:
- Keywords:
- random hybrid stacking algorithm; genetic algorithm; container yard operation; container stowage plan; handling cost; utilization ratio
- DOI:
- 10.1007/s11804-013-1200-3
- 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.
References:
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Memo
- Memo:
- 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)
