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 GAMS
format to solve an optimization problem. For security purposes, the model
submitted must adhere to the following conventions:
If you are unfamiliar with GAMS, the
GAMS Documentation includes a
GAMS Tutorial and
Examples of models in GAMS format can be found in the
GAMS model library.
By default, the NEOS Server limits the amount of output generated in the
listing file by turning off the symbol and unique element list, symbol cross
references, and restricting the rows and columns listed to zero. This
behavior can be changed by specifying the appropriate options in the model
file. See the
documentation on GAMS output
for further information.
You may optionally submit an options file if you wish to override the
default parameter settings for the solver. Currently, the NEOS Server can
only use optfile=1 with GAMS input. Therefore, any model that
specifies a different options file will not work as intended.
<modelname>.optfile = 1 ;
optfile = 1