Release Notes 6.5
We are happy to announce a 6.5 Final release of OptaPlanner. OptaPlanner is a lightweight, embeddable planning engine written in Java™ to solve AI constraint optimization problems efficiently. Use cases include Vehicle Routing, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling and many more.
- Stable: Lots of unit, integration and stress tests
- Reliable: Used across the world in production
- Scalable: To billions of constraint matches with minimal RAM and CPU time
- Documented: Read the detailed reference manual and the many examples
- Open Source: Apache License 2.0
The RHDM version differs from the OptaPlanner version:
| RHDM version | OptaPlanner version |
|---|---|
| 7.8 | 7.39 |
| 7.9 | 7.44 |
| 7.1 | 7.48 |
| 7.11 | 8.5 (and 7.52) |
| 7.12 | 8.11 (and 7.59) |
| 7.13 | 8.13 (and 7.67) |
New and noteworthy
Bugs fixed
We’re focusing all forward development on 7.0, which you can find in the download section. So this release only contains bugfixes.
Upgrade your code to 6.5
The best and easiest way to upgrade to this new version of OptaPlanner is by following the upgrade recipe.
New features in older releases
Read the previous release notes to learn about the new and noteworthy in previous releases.
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Tue 29 November 2022
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Tue 15 November 2022
Geoffrey De Smet
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Wed 9 November 2022
Radovan Synek
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Tue 6 September 2022
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Thu 9 June 2022
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Thu 26 May 2022
Lukáš Petrovický
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Mon 7 March 2022
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Tue 26 October 2021
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The Vehicle Routing Problem
Fri 23 September 2022
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Introduction to OptaPlanner AI constraint solver
Thu 25 August 2022
Anna Dupliak
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On schedule: Artificial Intelligence plans that meet expectations
Sat 23 July 2022
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Host your OptaPlanner app on OpenShift (Kubernetes)
Mon 7 February 2022
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OptaPlanner - A fast, easy-to-use, open source AI constraint solver for software developers
Mon 31 January 2022
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Order picking planning with OptaPlanner
Fri 31 December 2021
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AI lesson scheduling on Quarkus with OptaPlanner
Thu 18 November 2021