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The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

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Planning optimization made easy.
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Timefold Solver is an optimization engine evolved from OptaPlanner. Developed by the original OptaPlanner team, our aim is to free the world of wasteful planning.

This README deals with Timefold Solver for Java. We also have a version of Timefold Solver for Python.

Build from source

  1. Install JDK 17 and Maven 3.9 , for example with Sdkman:

    $ sdk install java
    $ sdk install maven
  2. Git clone this repository:

    $ git clone https://github.com/TimefoldAI/timefold-solver.git
    $ cd timefold-solver
  3. Build it from source:

    $ mvn clean install -Dquickly

Contribute

This is an open source project, and you are more than welcome to contribute! For more, see Contributing.

Editions

There are 2 editions of Timefold Solver:

Key Features of Timefold Solver Enterprise Edition (EE)

  • Multi-threaded Solving: Experience enhanced performance with multi-threaded solving capabilities.

  • Nearby Selection: Get better solutions quicker, especially with spatial problems.

  • Dedicated Support: Get direct support from the Timefold team for all your questions and requirements.

Licensing and Usage

Unlike the ASL-licensed Community Edition in this repo, the Enterprise Edition is not open source. If you wish to use the Enterprise Edition in a production environment, please contact Timefold to obtain the appropriate license.

Timefold Solver was forked on 20 April 2023 from OptaPlanner, which was entirely Apache-2.0 licensed (a permissive license).

Timefold Solver is a derivative work of OptaPlanner, which includes copyrights of the original creator, Red Hat Inc., affiliates, and contributors, that were all entirely licensed under the Apache-2.0 license. Every source file has been modified.

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The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

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