Welcome to MiniZinc

MiniZinc is a free and open-source constraint modeling language.

You can use MiniZinc to model constraint satisfaction and optimization problems in a high-level, solver-independent way, taking advantage of a large library of pre-defined constraints. Your model is then compiled into FlatZinc, a solver input language that is understood by a wide range of solvers.

MiniZinc is developed at Monash University in collaboration with Data61 Decision Sciences and the University of Melbourne.

Getting started

To get started with MiniZinc, download the MiniZinc distribution and the IDE and have a look at the MiniZinc Handbook, which contains a tutorial introduction (also available in Chinese).

Learn MiniZinc

We have developed an extensive online course! Head over to Coursera's Basic Modeling for Discrete Optimization and Advanced Modeling for Discrete Optimization courses for an in-depth introduction to constraint modeling using MiniZinc.

News

  • 2018-10-31 MiniZinc 2.2.3 has been released (change log).
  • 2018-10-26 MiniZinc 2.2.2 has been released (change log).
  • 2018-09-20 Amendments of the MiniZinc Challenge 2018 results had to be made due to an issue with the solution checker. More details are available here. Thanks to Gustav Bj√∂rdal and Michael Marte for reporting.
  • 2018-09-06 MiniZinc 2.2.1 has been released (change log).
  • 2018-08-28 The MiniZinc Challenge 2018 results available here.
  • 2018-08-24 MiniZinc 2.2.0, a major release with many new features has been released (change log).
  • 2018-03-08 11th edition of the MiniZinc Challenge has been announced.
  • 2018-01-10 MiniZinc 2.1.7 has been released (change log).
  • 2017-09-22 MiniZinc 2.1.6 has been released (change log).
  • 2017-08-30 The MiniZinc Challenge 2017 results available here.
  • 2017-05-17 MiniZinc 2.1.5 has been released (change log).
  • 2017-03-16 MiniZinc 2.1.4 has been released (change log).
  • Older news items

Latest release

MiniZinc 2.2.3
31 October 2018, change log

Source code

GitHub

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