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Optimized Entropy Based Algorithm for Aircraft Scheduling Problem

机译：基于优化熵的飞机调度问题算法

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This paper discourses the real time issues of aircraft scheduling. The concern of finding an ideal schedule aimed at aircraft landings is mentioned as the “aircraft landing problem” As every aircraft has a favored landing time, the aim is to diminish the aggregate delay costs meant for the whole aircraft landings while regarding the separation requirements. The chief goal is to diminish the overall cost along with improving aircraft scheduling performance. The proposed work has the subsequent stages, initially the aircrafts are divided as separate classes i.e., heavy, large along with small classes. For each and every aircraft classes, runway occupation profile, landing time and separation times are measured. Entropy value is calculated for the measured parameters. These entropy values are optimized by utilizing Cuckoo-search optimization algorithm. The optimized values are finally scheduled using FCFS algorithm. The employment of entropy based optimization and scheduling offers enhanced performance when paralleled with the prevailing efforts. The performance of proposed and existing results are contrasted and plotted.
机译：本文论述了飞机调度的实时性问题。提到找到针对飞机着陆的理想时间表的问题被称为“飞机着陆问题”。由于每架飞机都有着陆时间，因此目的是在考虑分隔要求的同时，减少整个飞机着陆的总延误成本。主要目标是减少总体成本，同时提高飞机的调度性能。拟议的工作有后续阶段，最初是将飞机分为不同的类别，即重型，大型和小型。对于每种飞机类别，都将测量跑道占用状况，着陆时间和分离时间。为测量的参数计算熵值。通过利用布谷鸟搜索优化算法来优化这些熵值。最后，使用FCFS算法来调度优化值。当与流行的努力并行进行时，基于熵的优化和调度的采用提供了增强的性能。对比了建议的结果和现有结果的性能并绘制了图表。

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