Timefold Solver Community Edition 1.5.0
For our final release of 2023, we’ve prepared some exciting things!
Featured Update - Recommended Fit API, a game-changer for appointment scheduling.
- Use case: Imagine you are an operator on a phone line, or an AI chatbot. A customer asks you for an appointment with a sales representative. Where do you put that appointment in their busy calendar?
- Timefold Solver now provides superfast sub-second response times, while still taking all your constraints into account!
- Result: Operators can receive a list of appointment choices, ranked from best fit to worst, for informed decision-making. Ensuring they can make an informed choice that has the least potential to disrupt the schedule as a whole.
Other Enhancements:
- Constraint Streams now simplify solving constraints with sequences of indefinite length.
- Debugging score corruptions is now easier.
- Various other improvements and bug fixes to enhance overall user experience.
Changelog
🚀 Features
- ab44aa6 Introduce the Recommended Fit API, closes #432
- dccbda3 Promote consecutive sequence collector to public API, closes #426
- 4415f4d Add constraint weight to ScoreAnalysis, closes #416
- 86d58e6 Report missing before/after calls on undo corruption, closes #433
- 926bb11 Report shadow variables that differ after recalculating from scratch when undo corruption occurs, closes #430
- 176188b Identify Solver version and edition in Benchmarker, Spring and Quarkus, closes #411
🐛 Fixes
- d8cf97c Shadow entities should be annotated with @PlanningEntityCollectionProperty, closes #445
- ae617f4 Example app logo transparency
- 6f0603f Support repeatable annotations like ShadowVariable in Quarkus
🧰 Tasks
📝 Documentation
- 6de79ff Move development section from user guide to Github CONTRIBUTING
- 663f22d Restructure chapters on using and configuring solver
Contributors
We'd like to thank the following people for their contributions:
- Christopher Chianelli
- Geoffrey De Smet
- Lukáš Petrovický (@triceo)
- Pieter De Schepper
- Radovan Synek
- dependabot[bot] (@dependabot[bot])
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, just add the ai.timefold.solver : timefold-solver-core : 1.5.0 dependency in your pom.xml to get started.
You can also import the Timefold Solver Bom (ai.timefold.solver : timefold-solver-bom : 1.5.0) 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. They exclude 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.