Summer is here, but we're not resting! Not all of us anyway. This release brings features, as well as an assortment of bug fixes and enhancements.
Featured update: Fairness and Load Balancing
Providing optimized schedules is only one part of the problem. And if our employees see that our schedule isn't being fair to them, because Ann is getting three times as many shifts as Dan is, they will not be very happy and the business will struggle. The business may even run into labour law issues.
That is why we are introducing a load balancing collector for Constraint Streams. You can read all about it in Fairness and load balancing section of the documentation.
Besides that, we have added some quality of life improvements:
ScoreAnalysisnow provides more information about itself, including a useful textual summary of the analysis.- The solver can now trigger an event when the first initialized solution shows up, letting you know when the construction heuristic ends and local search begins.
Changelog
🚀 Features
- e1dac95 Add support for fairness constraints (#94), closes #94
- 4396e2d Improve ScoreAnalysis debug information (#105), closes #105
- 81bbd40 Add strptime and strftime to datetime classes (#101), closes #101
🧰 Tasks
Contributors
We'd like to thank the following people for their contributions:
Timefold Solver Community Edition is an open source project, and you are more than welcome to contribute as well!
For more, see Contributing.
Should your business need to scale to truly massive data sets or require enterprise-grade support,
check out Timefold Solver Enterprise Edition.
How to use Timefold Solver in Python
To see Timefold Solver in action, check out the quickstarts.
Add timefold==1.12.0-beta to your requirements.txt or pip install timefold==1.12.0-beta file to get started.
Additional notes
The changelog and the list of contributors above are automatically generated.
It excludes contributions to certain areas of the repository, such as CI and build automation.
This is done for the sake of brevity and to make the user-facing changes stand out more.