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Artificial Intelligence planning optimization for Scala

OptaPlanner is sometimes used by Scala programmers.

  • It works, there are no known issues.

What is OptaPlanner?

OptaPlanner is an AI constraint solver. It optimizes planning and scheduling problems, such as the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more. Every organization faces such challenges: assign a limited set of constrained resources (employees, assets, time and/or money) to provide products or services. OptaPlanner delivers more efficient plans, which reduce costs and improve service quality.

OptaPlanner is a lightweight, embeddable planning solver. It enables everyday Java programmers to solve optimization problems efficiently. It is also compatible with other JVM languages (such as Kotlin and Scala). Constraints apply on plain domain objects and can call existing code. There's no need to input constraints as mathematical equations. Under the hood, OptaPlanner combines sophisticated Artificial Intelligence optimization algorithms (such as Tabu Search, Simulated Annealing, Late Acceptance and other metaheuristics) with very efficient score calculation and other state-of-the-art constraint solving techniques.

OptaPlanner is open source software, released under the Apache License. It is written in 100% pure Java™, runs on any JVM and is available in the Maven Central repository too. It works with Quarkus and Spring Boot.

Download
Download OptaPlanner
8.2.0.Final

Try the examples now:

  1. Download the zip and unzip it
  2. On Linux/macOS, run examples/runExamples.sh
    On Windows, run examples/runExamples.bat
Requires Java™ to run.
Documentation
Read documentation
8.2.0.Final

Read a Quick Start guide
or git clone optaplanner-quickstarts.

Latest release
  • 8.2.0.Final released
    Tue 9 February 2021
Paid support and consulting

Want to talk to the experts? Red Hat offers certified binaries with enterprise consulting. Contact optaplanner-info for more information.

Upcoming events
  • Javaland
    Worldwide - Tue 16 March 2021
    • AI on Quarkus: I love it when an OptaPlan comes together by Geoffrey De Smet
  • SouJava MOTU
    Worldwide - Thu 15 April 2021
    • Planejamento de Recursos com OptaPlanner by Karina Varela, Otávio Santana
Add event / Archive
Latest blog posts
  • How much faster is Java 15?
    Tue 26 January 2021
     Michal Tomčo
  • Solve the facility location problem
    Fri 9 October 2020
     Jiří Locker
  • OptaPlanner Week 2020 recordings
    Mon 7 September 2020
     Geoffrey De Smet
  • Let’s OptaPlan your jBPM tasks (part 1) - Integrating the two worlds
    Fri 3 July 2020
     Walter Medvedeo
  • AI versus Covid-19: How Java helps nurses and doctors in this fight
    Fri 8 May 2020
     Christopher Chianelli
  • Workflow processes with AI scheduling
    Tue 5 May 2020
     Christopher Chianelli
  • Constraint Streams - Modern Java constraints without the Drools Rule Language
    Tue 7 April 2020
     Geoffrey De Smet
Blog archive
Latest videos
  • YT Maintenance scheduling
    Wed 24 February 2021
     Julian Cui
  • YT Vaccination appointment scheduling
    Wed 3 February 2021
     Geoffrey De Smet
  • YT Shadow variables
    Tue 19 January 2021
     Geoffrey De Smet
  • YT Domain modeling and design patterns
    Tue 17 November 2020
     Geoffrey De Smet
  • YT Quarkus insights: AI constraint solving
    Tue 20 October 2020
     Geoffrey De Smet
  • YT AI in kotlin
    Wed 23 September 2020
     Geoffrey De Smet
  • YT Planning agility: continuous planning, real-time planning and more
    Thu 3 September 2020
     Geoffrey De Smet
Video archive

KIE projects

  • Drools rule engine
  • OptaPlanner constraint solver
  • jBPM workflow engine

Community

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  • Academic research

Code

  • Build from source
  • Submit a bug
  • License (Apache-2.0)
  • Release notes
  • Upgrade recipes
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