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At the moment, the max welfare rule is implemented by an ILP. But one could also solve it using a dynamic program. This could be helpful for controlling the tie-breaking. In addition, I'm too lazy to include an ILP solver in my pref.tools version, so for that a pure python approach would also be useful.
(I don't think it's urgent, but it could be a student task.)
The text was updated successfully, but these errors were encountered:
DominikPeters
changed the title
Implement non-ILP algorithm for welfare maximization
[Feature suggestion] Implement non-ILP algorithm for welfare maximization
Dec 7, 2023
At the moment, the max welfare rule is implemented by an ILP. But one could also solve it using a dynamic program. This could be helpful for controlling the tie-breaking. In addition, I'm too lazy to include an ILP solver in my pref.tools version, so for that a pure python approach would also be useful.
(I don't think it's urgent, but it could be a student task.)
The text was updated successfully, but these errors were encountered: