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首页> 外文期刊>International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems >A HYBRID KNOWLEDGE-BASED AND EVOLUTIONARY PROCESS MODEL OF AIRPORT GATE SCHEDULING
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A HYBRID KNOWLEDGE-BASED AND EVOLUTIONARY PROCESS MODEL OF AIRPORT GATE SCHEDULING

机译：基于混合知识的进化型机场门调度模型

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摘要

The problem of assigning gates to aircraft that are due to arrive at an airport is one that involves a dynamic task environment. Airport gates can only be assigned if they are currently available, but deciding which gate to assign to which flight also involves satisfying multiple additional constraints. Once a solution has been found, new incoming flights will have approached the airpspace of the airport in question, and these will require arrival gates to be assigned to them, so the entire process must be repeated. We have come up with a combined knowledge-based and evolutionary approach for performing the airport gate scheduling task. In this paper we present our model from a theoretical point of view, and then discuss a particular implementation of it for the scheduling of arrival gates in a specific airport and show some experimental results.
机译：给将要到达机场的飞机分配登机门的问题是涉及动态任务环境的问题。仅在当前可用时才可以分配机场登机口，但是决定将哪个登机口分配给哪个航班也需要满足多个其他约束条件。找到解决方案后，新的进港航班将进入有问题的机场的领空，并且将需要为其分配登机口，因此必须重复整个过程。我们提出了一种基于知识和进化的组合方法来执行机场登机口调度任务。在本文中，我们从理论的角度介绍了我们的模型，然后讨论了该模型在特定机场的登机口调度中的特定实现方式，并展示了一些实验结果。

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