Mathematical Problems in Engineering / 2014 / Article / Tab 6

Research Article

Research on Arrival/Departure Scheduling of Flights on Multirunways Based on Genetic Algorithm

Table 6

The comparative results of multiobjectives optimization and FCFS.

SchemeDelay LossesRunway capacityRobustness
Losses/yuanComparison %Time of scheduling/sComparison %Percentage of shift %Comparison %

164391.8−70.41255−20.483.330
230921.6−85.81287−18.466.67−20
331868.5−85.31409−10.763.33−24
455697.1−74.41341−15.070−16
547914.8−78.01252−20.666.67−20
660326.1−72.31214−23.086.674
729554.9−86.41294−17.970−16
FCFS217815.2157783.33

Here, “−” represents improvement and “+” represents decline.

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at help@hindawi.com to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.