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首页> 外文期刊>International Journal of Materials, Mechanics and Manufacturing >Marine Quay Crane Scheduling Using a Combined Modified Genetic Algorithm and Priority Rules Approach
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Marine Quay Crane Scheduling Using a Combined Modified Genetic Algorithm and Priority Rules Approach

机译:改进遗传算法和优先规则相结合的海上码头起重机调度

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Quay crane scheduling problem (QCSP) is the problem of the allocation of quay cranes to handle the unloading and loading of containers at seaport container terminals and defining the service sequence of vessel bays of each quay crane. The treatment of crane interference constraints and the increased in vessel size make the problem difficult to solve. Due to the growing interest in applied research for this problem, many researchers have used different algorithms and methods to obtain some solutions. This paper will propose a modified genetic algorithm combined with priority rules to deal with it. The advantage of the proposed algorithm comes from the fact that crane interference constraints, non-simultaneous constraints and precedence constraints can all be handled in simple ways and is to provide practical solutions. The effectiveness and reliability of the approach are tested using several benchmark instances proposed by Meisel and Bierwirth (2011). A comparison with the current best-known solutions reveals that the proposed method is capable of finding the optimal or near-optimal solution in reasonable computing time.
机译:码头起重机调度问题(QCSP)是分配码头起重机以处理港口集装箱码头的集装箱装卸和确定每个码头起重机的船坞服务顺序的问题。起重机干扰约束的处理以及船只尺寸的增加使得该问题难以解决。由于对此问题在应用研究中的兴趣日益浓厚,许多研究人员已使用不同的算法和方法来获得一些解决方案。本文将提出一种改进的遗传算法,结合优先级规则进行处理。所提出算法的优点在于,起重机干扰约束,非同时约束和优先约束都可以用简单的方式处理,并提供实用的解决方案。使用Meisel和Bierwirth(2011)提出的几个基准实例测试了该方法的有效性和可靠性。与当前最著名的解决方案进行比较表明,该方法能够在合理的计算时间内找到最优或接近最优的解决方案。

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