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.