HiGHS¶

A leading free solver that has evolved from a large-scale optimization project at the University of Edinburgh. HiGHS is open-source software to solve linear programming, mixed-integer programming, and convex quadratic programming models. The framework used by the driver supports automatic reformulation for many expression types; the modeling guide can be found here.

How to use it¶

ampl: option solver highs; # change the solver
ampl: option highs_options 'option1=value1 option2=value2'; # specify options
ampl: solve; # solve the problem

How to install using amplpy:

# Install Python API for AMPL:
$ python -m pip install amplpy --upgrade

# Install AMPL & solver modules:
$ python -m amplpy.modules install highs # install HiGHS

# Activate your license (e.g., free ampl.com/ce or ampl.com/courses licenses):
$ python -m amplpy.modules activate <your-license-uuid>

How to use:

from amplpy import AMPL
ampl = AMPL()
...
ampl.solve(solver="highs", highs_options="option1=value1 option2=value2")

Learn more about what we have to offer to implement and deploy Optimization in Python.

Resources¶

Solver options¶

Full list of solver options:

HiGHS Options

More details on solver options: Features guide.

Retrieving solutions¶

The outcome of the last optimization is stored in the AMPL parameter solve_result_num and the relative message in solve_result.

display solve_result_num, solve_result;

HiGHS solve result codes can be obtained by running highs -! or ampl: shell "highs -!";:

          0- 99 solved: optimal for an optimization problem, feasible for a satisfaction problem
        100-199 solved? solution candidate returned but error likely
            150 solved? MP solution check failed (option sol:chk:fail)
        200-299 infeasible
        300-349 unbounded, feasible solution returned
        350-399 unbounded, no feasible solution returned
        400-449 limit, feasible: stopped, e.g., on iterations or Ctrl-C
        450-469 limit, problem is either infeasible or unbounded
        470-499 limit, no solution returned
        500-999 failure, no solution returned
            550 failure: numeric issue, no feasible solution

For general information, see MP result codes guide.

Changelog¶

ILOGCP Changelog

HiGHS Options