CONOPT¶

A proven choice for highly nonlinear problems, CONOPT’s efficient and reliable multi-method architecture handles a broad range of models. Specialized techniques achieve feasibility quickly, while powerful preprocessing tools reduce problem size and suggest formulation improvements.

How to use it¶

ampl: option solver conopt; # change the solver
ampl: option conopt_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 conopt # install CONOPT

# 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="conopt", conopt_options="option1=value1 option2=value2")

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

Options¶

Full list of solver options:

CONOPT Options

Changelog¶

GCG Changelog

CONOPT Options