[Rails-devel] Improved revenue prediction / different scenario

[Stefan F. <ste...@we...>]

Alex,
sorry for not answering earlier to the question about the improved revenue 
prediction. 

The scheme is simple.  Assume that N is the number of trains in the trainset.
First I replace the maximum revenue potential of each single train by the 
maximum results of running each train alone.

If there are more than two trains to run:
Start with J=N-1 and decrease J with each step until J=1.
- Run the combined set of trains [J, ... N] and use the optimal result to 
predict the maximum future revenue potential of that train set.

Then run the combined optimization of all trains, given the maximum revenue 
potential for each set [J, N], with J > 1.

I would like to compare another scenario based on the track network A to check 
if we get the same results.
The changes are:
- SLSF has 4 tokens now (D5, J3, L11, E12)
- Trains running are 6E, 8, 5+5, 4D
(E: ignores towns, D: ignores towns and double city and offboard values)
The best run I find is 1100. Total running time 78 sec.
Network runs (6E cyan, 8 pink, 5+5 orange, 4D gray)  and log is attached.

Stefan