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Design Simulation Program of Runway Capacity Using Genetic Algorithm at Soekarno-Hatta

机译:Soekarno-Hatta基于遗传算法的跑道通行能力设计仿真程序

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The purposes of this research are to calculate the capacity of runway with runway capacity simulation software using Genetic Algorithm, and to analyze the efforts which have more profound effect. To enhance the runway capacity, some strategies are researched, such as reduction of separation to meet criteria set by FAA’s rule, addition of the exit taxiway, addition of the runway according to master plan of Soekamo-Hatta Airport and changing the runway utilization strategies. Out of the four strategies, the most efficient solution is changing the runway utilization strategies and reduction in separation. However, the addition of runway has the highest capacity increase. Keywords: genetic algorithm, simulation, runway capacity.
机译:本研究的目的是利用遗传算法利用跑道容量模拟软件计算跑道容量,并分析产生更大影响的努力。为了提高跑道容量,研究了一些策略,例如减少间隔以符合FAA规则设定的标准,增加出口滑行道,根据Soekamo-Hatta机场总体规划增加跑道以及更改跑道利用策略。在这四种策略中,最有效的解决方案是更改跑道利用率策略并减少间隔。但是,增加跑道的容量增加最大。关键字:遗传算法,仿真,跑道容量。

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