We should systematically initialize the seed for the optimizations. Sth like this:
seed = np.random.randint( int(1e6) )
np.random.seed(seed)
# Whatever optimizations we need to do
After this, the seed could also be store in the solution file.
This would guarantee total reproducibility and help us to get the correct graphs in a single attempt (once it has been found).
We should systematically initialize the seed for the optimizations. Sth like this:
After this, the seed could also be store in the solution file.
This would guarantee total reproducibility and help us to get the correct graphs in a single attempt (once it has been found).