Problem submissions for the 2024 MiniZinc Challenge are currently open! See the call for problems for more information.

MiniZinc

MiniZinc is a high-level constraint modelling language that allows you to easily express and solve discrete optimisation problems.

Latest release: 2.8.5 (changelog)

MiniZinc is developed at Monash University with support from OPTIMA.

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Try MiniZinc

Try one of the examples, or write your own model.

Why choose MiniZinc?

  • High-level language

    Model constraint satisfaction and optimisation problems using readable, intuitive logical constructs, with full type safety.

  • Solver independent

    Run the same model using a variety of different solver technologies, without being locked into a particular solver.

  • Pre-defined constraints

    MiniZinc features a large library of pre-defined constraints, making modelling complex relationships simple.

  • Fully featured development environment

    Use the MiniZinc IDE to write and run models, visualise search and solutions, profile performance and more.

  • In-depth learning materials

    MiniZinc has comprehensive documentation, including the tutorial, several courses, the user manual, and library documentation.

  • Integrate MiniZinc into your project

    MiniZinc can be embedded into Python and JavaScript programs, and can even be used entirely from within the browser.

Latest Release

MiniZinc 2.8.5

Released 3 June 2024

  • Add string_split function that splits a string into an array of strings based on a separator.
  • Add json_section annotation to mark an output item as a JSON section (issue 816).
  • Fix specification for constraint items and annotations in FlatZinc JSON.
  • Fix flattening of negated let expressions with constraints.
  • Fix crash when equating identifiers to tuples/records in if-then-else expressions.
  • Fix string_length function to return the number of Unicode code points rather than the number of bytes (i.e., to interpret the string as UTF-8).
  • Emit type error for opt tuples and records created through type aliases.
  • Fix evaluation of par partial functions returning arrays.
  • Fix type inference for if-then-else expressions with different tuple or record types in the branches.
  • Fix evaluation error caused by removal of fixed FlatZinc variables without fixing them in the output model.
  • Fix computed type when flattening cv comprehensions containing tuple or record types.
  • Fix unsatisfiability caused by reification in negated boolean context (issue 813).
  • Fix bug in computation of common type of incompatible record types.
  • Fix crash when type checking nested arrays of tuples or records.
  • Fix incorrect unification of flattened tuple/record fields with paths enabled.

See the full changelog.

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