Research Article
Multimedia Urban Road Path Optimization Based on Genetic Algorithm
| Region | Customer number | Demand (kg) | Earliest arrival time | Best earliest service time | Best latest service time | Latest arrival time |
| A | 1 | 200 | 10:30 | 11:00 | 12:20 | 13:30 | 2 | 300 | 8:30 | 9:00 | 9:30 | 10:00 | 3 | 80 | 11:00 | 11:30 | 12:00 | 12:30 |
| B | 1 | 450 | 9:30 | 10:00 | 10:30 | 11:00 | 2 | 700 | 8:00 | 8:30 | 9:00 | 9:30 | 3 | 350 | 12:30 | 13:00 | 13:30 | 14:00 |
| C | 1 | 230 | 9:30 | 10:00 | 10:30 | 11:00 | 2 | 360 | 14:00 | 14:30 | 15:00 | 15:30 | 3 | 460 | 7:00 | 7:30 | 8:00 | 8:30 |
| D | 1 | 920 | 9:00 | 9:30 | 10:00 | 10:30 | 2 | 70 | 7:30 | 8:00 | 8:30 | 9:00 | 3 | 150 | 12:00 | 12:30 | 13:00 | 13:30 |
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