HiGHS is high performance serial and parallel software for solving large-scale sparse linear programming (LP), mixed-integer programming (MIP) and quadratic programming (QP) models. HiGHS has primal and dual revised simplex solvers, originally written by Qi Huangfu and further developed by Julian Hall. It also has an interior point solver for LP written by Lukas Schork, an active set solver for QP written by Michael Feldmeier, and a MIP solver written by Leona Gottwald. Other features have been added by Julian Hall and Ivet Galabova, who manages the software engineering of HiGHS and interfaces to C, C#, FORTRAN, Julia and Python. On the NEOS server, HiGHS is available via MPS and LP formats and on the AMPL and GAMS platforms.
If you use HiGHS in an academic context, please acknowledge this and cite the following article.
The user must submit a model in LP format. The LP file may be submitted in gzipped or zipped format; NEOS will uncompress it automatically. A user also may upload an options file.