LGO#
LGO is capable of determining high-quality solutions to global optimization problems with continuous variables that have (possibly many) locally optimal solutions. Because LGO makes only limited assumptions as to problem structure and differentiability, it can be applied in a broad range of design and operational applications.
Download LGO | Start a LGO Trial Now!
How to use it#
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 lgo # install LGO
# 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="lgo", lgo_options="option1=value1 option2=value2")
Learn more about what we have to offer to implement and deploy Optimization in Python.
AMPL APIs are interfaces that allow developers to access the features of the AMPL interpreter from within a programming language. We have APIs available for:
ampl: option solver lgo; # change the solver
ampl: option lgo_options 'option1=value1 option2=value2'; # specify options
ampl: solve; # solve the problem
Options#
Full list of solver options: