Update optimize.md

testing/manual/optimize.md

@@ -38,7 +38,7 @@ Note: sampling combinations in PyCIEMSS can result in numerical instability, whe
 2. Optimize intervention: set _H_ to `< 20 000` in all time points in `95%` of simulated outcomes. 
 3. Find a `new start time` for _NPI mult_ `upper bound` (how long we can delay masking). Start time `60`, end time `150`, initial guess `61`. 
 4. Optimization settings: end time `150`, maxiter `3` max eval `30`
-5. This should succeed with a new start time around 60 to 75 range (may vary due to calibration results as well as optimize run)
+5. This should succeed with a new start time.
 
 ### 5. Hospitalizations optimization
 1. Create a Hospitalizations Policy operation with the `Intervention Policy` operator.