Research Article
Multirunway Optimization Schedule of Airport Based on Improved Genetic Algorithm by Dynamical Time Window
Table 5
The delay cost of 3 kinds of algorithms.
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Number | FCFS | Genetic algorithm | Optimized algorithm | Estimated departure time | Actual departure time | Runway | Delay cost | Departure time | Runway | Delay cost | Optimized departure time | Runway | Delay cost |
| 1 | 0:00:00 | 0:00:00 | 0 | 0 | 0:10:50 | 1 | 1060 | 0:03:44 | 0 | 208 | 2 | 0:00:00 | 0:00:00 | 1 | 0 | 0:00:00 | 1 | 0 | 0:05:02 | 1 | 182 | 3 | 0:00:00 | 0:02:34 | 0 | 37.4 | 0:01:38 | 1 | 0 | 0:01:36 | 1 | 0 | 4 | 0:00:00 | 0:02:02 | 1 | 4.2 | 0:09:36 | 1 | 957.6 | 0:06:16 | 0 | 537.6 | 5 | 0:04:00 | 0:08:54 | 1 | 382.8 | 0:11:44 | 0 | 756.8 | 0:08:48 | 0 | 369.6 | 6 | 0:04:00 | 0:09:43 | 0 | 490.6 | 0:10:30 | 0 | 594 | 0:12:48 | 0 | 941.6 | 7 | 0:04:00 | 0:11:12 | 1 | 374.4 | 0:03:14 | 0 | 0 | 0:11:22 | 1 | 386.4 | 8 | 0:04:00 | 0:10:57 | 0 | 1188 | 0:07:34 | 0 | 376 | 0:07:44 | 1 | 416 | 9 | 0:08:00 | 0:16:29 | 0 | 427.9 | 0:15:20 | 0 | 352 | 0:16:32 | 1 | 431.2 | 10 | 0:08:00 | 0:16:41 | 1 | 401 | 0:16:58 | 0 | 418 | 0:15:26 | 0 | 326 | 11 | 0:08:00 | 0:17:43 | 0 | 972.3 | 0:08:22 | 1 | 0 | 0:10:02 | 0 | 4.2 | 12 | 0:08:00 | 0:17:55 | 1 | 1947.5 | 0:13:56 | 1 | 967.6 | 0:12:36 | 1 | 639.6 |
|
Number | FCFS | Genetic algorithm | Optimized algorithm | Estimated approach time | Actual approach time | Runway | Delay cost | Approach time | Runway | Delay cost | Optimized approach time | Runway | Delay cost |
| 13 | 0:00:00 | 0:03:50 | 0 | 4620 | 0:01:14 | 0 | 0 | 0:00:00 | 0 | 0 | 14 | 0:01:06 | 0:03:23 | 1 | 1054 | 0:02:44 | 1 | 0 | 0:02:42 | 1 | 0 | 15 | 0:01:47 | 0:05:59 | 0 | 3036 | 0:04:50 | 0 | 1449 | 0:00:00 | 1 | 0 | 16 | 0:02:35 | 0:06:10 | 1 | 2194.5 | 0:06:28 | 0 | 3072.3 | 0:06:38 | 1 | 2841.3 | 17 | 0:03:19 | 0:08:27 | 0 | 7933.6 | 0:00:00 | 0 | 0 | 0:01:14 | 0 | 0 | 18 | 0:03:55 | 0:07:48 | 1 | 2599 | 0:12:50 | 1 | 9545 | 0:12:02 | 0 | 8441 | 19 | 0:04:07 | 0:12:35 | 0 | 16024.4 | 0:05:52 | 1 | 0 | 0:02:28 | 0 | 0 | 20 | 0:05:14 | 0:12:18 | 1 | 18878.4 | 0:08:52 | 0 | 4693.6 | 0:09:02 | 1 | 6706.8 | 21 | 0:02:52 | 0:07:15 | 0 | 6006 | 0:04:38 | 1 | 0 | 0:05:00 | 0 | 336 | 22 | 0:06:23 | 0:15:05 | 1 | 9246 | 0:16:16 | 1 | 9756.2 | 0:17:02 | 0 | 11164 | 23 | 0:07:34 | 0:14:53 | 0 | 7368.9 | 0:13:44 | 0 | 5775 | 0:14:56 | 1 | 7438.2 | 24 | 0:08:48 | 0:19:33 | 1 | 22155 | 0:07:06 | 1 | 0 | 0:07:32 | 0 | 0 |
| | | Total | 101115.8/CNY | | | 39773.1/CNY | | | 41369.5/CNY | | | Controller workload | | 2.6531 | 1.9539 |
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