- Remove documentation of strictly_increasing (and decreasing) for bool types, and change definition from a solver redefined global, to a simple library definition with user warning (issue 784).
- Add version of strictly_increasing (and decreasing) for float, opt float, and set of int types.
- Automatically detect SCIP 8.1.0 and potential future versions on Windows.
- Automatically detect Gurobi 11.0 and potential future versions.
- Allow array literals with all
<>members (issue 747). - Increase maximum number of threads from default Qt limit (issue 196).
MiniZinc
MiniZinc is a high-level constraint modelling language that allows you to easily express and solve discrete optimisation problems.
Latest release: 2.8.3 (changelog)
MiniZinc is developed at Monash University with support from OPTIMA.
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 beginner tutorials, advanced courses, a 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 2.8.3
Released 1 February 2024