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When scheduling e.g. 100 people at once, the algorithm can run out of time to find a good solution.
However, it succeeds when batching these up into e.g. 3x 33-person groups with roughly overlapping time availabilities.
We might be able to figure out how to improve the optimisation algorithm, or can implement a bit of a hack where if it fails to find a solution initially it splits up the group into smaller pieces.
The text was updated successfully, but these errors were encountered:
When scheduling e.g. 100 people at once, the algorithm can run out of time to find a good solution.
However, it succeeds when batching these up into e.g. 3x 33-person groups with roughly overlapping time availabilities.
We might be able to figure out how to improve the optimisation algorithm, or can implement a bit of a hack where if it fails to find a solution initially it splits up the group into smaller pieces.
The text was updated successfully, but these errors were encountered: