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A Nested Genetic Algorithm for Optimal Container Pick-Up Operation Scheduling on Container Yards

机译:一种嵌套遗传算法,用于集装箱码的最优容器拾取操作调度

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For the optimization problem on container pick-up operation scheduling, a multi-stage mathematical programming model is established to minimize the total operation cost. This model is comprised of two parts: rehandling operation scheduling and the shortest path search. A nested genetic algorithm with two layers is proposed, where the inner layer algorithm is embedded in the outer one. The outer algorithm is responsible for optimizing rehandling operation scheduling, and the inner is for searching the shortest path of rehandling operation. Two reformative operations are introduced, including the parent population involving selection and optimal individual maintaining. With an actual example, the algorithm is testified, the result shows that the algorithm is effective to solve this problem and has a high efficiency and speed of convergence.
机译:对于容器拾取操作调度的优化问题,建立了多级数学编程模型,以最小化总运营成本。该模型由两部分组成:重新处理操作调度和最短路径搜索。提出了一种具有两层的嵌套遗传算法,其中内层算法嵌入在外部。外部算法负责优化重生操作调度,内部用于搜索重新处理操作的最短路径。介绍了两项重整性操作,包括涉及选择和最佳个人维护的父母人口。通过实际示例,该算法得到了作证,结果表明该算法有效地解决了这个问题并且具有高效率和收敛速度。

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