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P1: update readme

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ntnt
2026-01-17 23:06:43 +08:00
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README.md
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@@ -15,6 +15,8 @@
说明：`kmin_effectiveness.py` 当前使用 Monte Carlo（引入 `StDev(Demand per Visit)`）对有效性做多次模拟平均。 说明：`kmin_effectiveness.py` 当前使用 Monte Carlo（引入 `StDev(Demand per Visit)`）对有效性做多次模拟平均。
![kmin effectiveness](data/kmin_effectiveness.png)
## Scheduling (Step 2) ## Scheduling (Step 2)
Optimize a 365-day schedule with at most 2 visits per day and minimum gap constraints: Optimize a 365-day schedule with at most 2 visits per day and minimum gap constraints:
@@ -27,3 +29,7 @@ Optimize a 365-day schedule with at most 2 visits per day and minimum gap constr
- `python3 visualize_schedule.py` - `python3 visualize_schedule.py`
- Outputs: `data/schedule_barcode_*.png` and `data/schedule_gap_deviation_*.png` - Outputs: `data/schedule_barcode_*.png` and `data/schedule_gap_deviation_*.png`
- Site label rule: remove first 4 chars, then take 12 chars. - Site label rule: remove first 4 chars, then take 12 chars.
![schedule barcode](data/schedule_barcode_kmin6.8_gap14.png)
![schedule gap deviation](data/schedule_gap_deviation_kmin6.8_gap14.png)