We welcome the new year with another release of Timefold Solver!
This time, it's mostly bugfixes and quality of life improvements, but we also introduce a Solution Diff feature to let you easily check differences between two planning solutions. It starts out its life as a preview feature, so let us know what you think!
Changelog
🚀 Features
- d79f75c Solution diff in SolutionManager (#1312), closes #1312
- 4316a5e (Python) Support deep_planning_clone class decorator (#1271), closes #1271
🐛 Fixes
- 3247e86 Ruin&Recreate score corruption and multi-threaded fixes (#1320), closes #1320
- d3ae68f Use Named Solver fields and method parameters to determine list of solver names in Quarkus (#1308), closes #1308
- 6271534 More accurate type hints for Python @planning_entity
🔄️ Changes
Contributors
We'd like to thank the following people for their contributions:
- Christopher Chianelli (@Christopher-Chianelli )
- Frederico Gonçalves (@zepfred )
- Jonathan Romano (@luxaritas )
- Lukáš Petrovický (@triceo )
- tomashauser (@tomashauser )
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
To see Timefold Solver in action, check out the quickstarts.
With Maven or Gradle, add the ai.timefold.solver : timefold-solver-core : 1.18.0 dependency in your pom.xml to get started.
You can also import the Timefold Solver Bom (ai.timefold.solver : timefold-solver-bom : 1.18.0)
to avoid duplicating version numbers when adding other Timefold Solver dependencies later on.
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.
