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Evolutionary Air Traffic Flow Management for Large 3D-problems

机译:大型3D问题的进化空气流量管理

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We present an evolutionary tool to solve free-route Air Traffic Flow Management problems within a three-dimensional air space [4], This is the first evolutionary tool which solves free-route planning problems involving a few hundred aircraft. We observe that the importance of the recombination operator increases as we scale to larger problem instances. The evolutionary algorithm is based on a variant of the elitist recombination algorithm. We show a theoretical analysis of the problem, and present the results of experiments.
机译:我们提出了一种在三维空间空间内解决自由路线空中流量管理问题的进化工具[4],这是第一个解决涉及几百架飞机的自由路线规划问题的进化工具。我们观察到重组操作员的重要性随着我们扩展到更大的问题实例而增加。进化算法基于ELITIST重组算法的变型。我们展示了对问题的理论分析,并呈现了实验结果。

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