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fixed_seed for single_test_optimization

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sets the seed for random to a fixed value to be able to compare results.
Value chosen for obvious reason. Same value is used in the test case.
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Normann 2024-10-06 14:49:49 +02:00 committed by Andreas
parent 738a4da455
commit fb59c9dd14
1 changed files with 1 additions and 1 deletions
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single_test_optimization.py
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@ -362,7 +362,7 @@ parameter = {
# Initialize the optimization problem
opt_class = optimization_problem(
prediction_hours=48, strafe=10, optimization_hours=24, verbose=True
prediction_hours=48, strafe=10, optimization_hours=24, verbose=True, fixed_seed=42
)
# Perform the optimisation based on the provided parameters and start hour