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A Simulation-Optimization-Based Heuristic BAP Approach

机译：一种基于仿真优化的启发式BAP方法

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Due to rapid development of container terminal management, the berth allocation problem (BAP) becomes critically important to the operational efficiency of a container terminal. However, intensive research wok has currently approached this problem, involving the berthing stage only. To resolve this impact, a novel BAP strategy is investigated in this study. In this respect, a mathematical model is first established based on the quay length of a container terminal. Afterwards, heuristic algorithms are developed for simulating and optimizing the dynamic berth allocation strategy with regard to yard planning. Finally, a case on a specific container terminal has been used to illustrate the feasibility and effectiveness of the proposed approach. Further elaborated, the simulation results have also been presented based on a comparison between the simulation models before and after optimization.
机译：由于集装箱码头管理的快速发展，泊位分配问题（BAP）对集装箱码头的运行效率变得批评。然而，密集的研究跨越摩斗目前已经接近了这个问题，涉及Betthing阶段。为了解决这一影响，在本研究中调查了一种新的BAP策略。在这方面，首先基于容器终端的码头长度建立数学模型。之后，开发了启发式算法，用于模拟和优化关于院子规划的动态泊位分配策略。最后，已经用于在特定容器终端上的情况用于说明所提出的方法的可行性和有效性。进一步详细说明，还基于在优化前后的仿真模型与优化之后的比较来呈现仿真结果。

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