Berth Allocation Planning for Improving Container Terminal Performances
نویسندگان
چکیده
This paper proposed an integrated model of combining Berth Allocation Problems (BAP) and Quay Cranes Assignments (QCA). It aims to improve terminal performances by minimizing the total service time and vessel transfer rate, especially for those important customers (vessels). A Two-Level Genetic Algorithm (TLGA) approach was proposed for solving the problems. A number of experiments were conducted, and the results were compared with other 2 common approaches. The comparisons demonstrated the proposed TLGA can achieve the above mentioned objectives, providing better solutions for BAP and QCA in serving more important customers.
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