School of Mathematics


Software created by members of the Optimization and Operational Research group


Icon of HiGHS software

HiGHS is open-source software for linear optimization that has been developed by Julian Hall, Ivet Galabova, Leona Gottwald and Michael Feldmeier. It has solvers for linear programming (simplex and interior point), mixed-integer programming, and quadratic programming. Its overall performance in the industry standard benchmarks exceeds that of any other open-source linear optimization software in the world. HiGHS provides the linear programming and mixed-integer programming solvers in the SciPy system, and is the open-source solver of choice in the popular modern Julia-based modelling and optimization system JuMP. Future plans will see HiGHS available in Google's OR-Tools, Pyomo and Octave. HiGHS is available from Github under the MIT license.

Contact, follow HiGHS on Twitter and LinkeIn, and read our permanent record on Wikipedia.