Timefold Releases

Introducing Timefold Solver’s latest release: Broadening Horizons Across Industries.

In our pursuit to cater to a wider array of planning challenges, we have added new quickstarts in our latest release. Tailored to meet the dynamic needs of various industries and use-cases.

• Conference Scheduling: Streamline the complex logistics of organizing successful events.
• Flight Crew Scheduling: Optimize crew assignments for efficiency and compliance.
• Hospital Bed Allocation: Enhance patient care through smarter bed management.
• Meeting Scheduling: Simplify the coordination of meetings to boost productivity and collaboration.

These quickstarts are designed to jump-start your planning processes, offering a fast track to deploying sophisticated scheduling and allocation solutions.

Enterprise Edition

Our customers gain an edge with the introduction of Nearby Selection in Construction Heuristics. This powerful feature enhances the solver’s capability to generate better initial solutions by considering proximity in decision-making, thereby optimizing operational efficiency and resource utilization across your projects.

And as always, this release also includes significant bug fixes and quality of life improvements for all users.

This is a hotfix release for Timefold customers. Please update if all of the following applies to you:

• You use list variables with unassigned values,
• you use multi-threaded solving,
• and you use construction heuristics.

If any one of the above doesn't apply to you, you do not need to update to Timefold Solver 1.8.1 and can wait for the regularly scheduled release next month.

Spring is in the air, and so is another release of Timefold Solver. And this time, it's a big one! For the Community Edition, we have prepared the following features:

• List variables now allow for unassigned values. Say goodbye to the "dummy vehicle" pattern, say hello to the performance improvements that come from it!
• Spring Boot users among you can now easily generate native images, as was already possible for Quarkus.
• ConstraintVerifier can now test for justifications and indictments, allowing you to write tests that will give you even more confidence in your constraints than was possible before.
• We have exposed new metrics that allow you to better monitor the currently running solver(s).
• We have brought the usual bugfixes and dependency upgrades.

On top of all that, our Enterprise Edition customers can enjoy some exclusive goodies:

• Automatic node sharing. Use cases with a large number of complex constraints may run much faster without any changes to your code. In our benchmarks, we have seen improvements in score calculation speed of up to 100 % on some data sets.
• Nearby Selection can now be enabled with a single switch in your configuration, as opposed to the cumbersome configuration of old. If you're still not using Nearby Selection for your large routing problems, you're missing out on cost savings coming from significantly improved solutions!

Going forward, we will be publishing an Upgrade Recipe to let you know of any things you may or may not run into when upgrading to the latest version of Timefold Solver. It's a good read!

In this release of Timefold Solver, we focused mostly on bugfixes, improvements to documentation and to the quickstarts. The release also brings the usual assortment of small tweaks and dependency upgrades.

Featured update: We've made it possible to inject more than one SolverManager in your Quarkus and Spring Boot applications, a feature often requested by the community.

New year, new release, new goodness!

Featured Update - Pinning on list variables, enhancing our support for real-time planning:

• With a new @PlanningPinToIndex annotation, you can tell the solver that a certain portion of the list variable is pinned and shouldn't be moved.
• For example, for a list of customers that a vehicle will visit, this allows you to model situations where certain visits have either already happened, or where the vehicle is already too far into the trip that it would not be practical for it to turn back.
• Previously, pinning was only available for the chained variable. With this, we are ramping up our efforts to bring list variable, which is easier to both understand and implement, on par with the chain variable in terms of features. Stay tuned for more on this front!

Other Enhancements:

• Solver termination can now be overridden without creating a new instance of Solver or SolverManager, look for the SolverConfigOverride class.
• The usual assortment of bugfixes and performance improvements.
• Improvements all over the documentation and quickstarts.
• Dependency upgrades.

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.

End of life

Timefold Solver 0.8.42 is the final release in the 0.8.x line. As both Quarkus 2.x and Spring Boot 2.x reached their public end of life, Timefold can no longer guarantee timely resolution to any current and future security vulnerabilities. We ask users to upgrade to Timefold Solver 1.x, which is actively maintained and will continue so for many years to come.

OptaPlanner 8.x compatibility

At the time of Timefold Solver 0.8.42 release (December 4, 2023), the latest available release of OptaPlanner 8.x was 8.44.0.Final, released three months ago (September 6, 2023). Timefold Solver 0.8.42 is functionally identical with OptaPlanner 8.44.0.Final, but it brings additional bugfixes, performance improvements and dependency upgrades to fix security vulnerabilities.

It's time for another monthly release of Timefold Solver Community Edition!

Featured Update - JSON-friendly score explanations:

• Even wondered what does a score of -3hard/-5soft actually mean? Wonder no more!
• Timefold Solver can now break down the score all the way to individual constraint matches.
• It can also compute differences between any two solutions.
• And finally, it can easily send them over the wire from the backend to the frontend.

Furthermore you can now generate a Spring Boot app and include the Timefold Solver dependency without it failing if there's no @PlanningSolution or @PlanningEntity classes.

On top of that, we have the usual assortment of performance improvements, bug fixes and dependency upgrades.

Another release, another better version of Timefold Solver Community Edition!

Featured Update - Constraint Stream Concatenation:

• Merge away! Combine multiple streams seamlessly.
• Implement intricate constraints with ease.

Besides the usual bug fixes and dependency upgrades, we also have a smoother experience with improved support for Java’s record types.

We've backported many bugfixes from Timefold Solver 1.x and also bumped several of our dependencies to address CVEs.

Timefold Solver Community Edition 1.2.0, is here, with a focus on enhancing your experience. In this update, we’ve resolved long-standing bugs to ensure a smoother Timefold journey. Upgrade now to enjoy a more seamless planning optimization experience!

We are proud to announce the general availability of Timefold Solver Community Edition 1.1.0! The highlights of this release include:

• Significant improvements to constraint matching performance.
• Several important bugfixes.
• Documentation improvements and other minor tweaks.

To ensure Constraint Streams process data correctly in all cases, we unfortunately had to sacrifice some solver performance. (See bug #186.) Some use cases may see score calculation speeds drop by 5 % on average.

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