LGO¶

LGO is capable of determining high-quality solutions to global optimization problems 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.

[Read More] [Options] [Download LGO]

How to use it¶

ampl: option solver lgo; # change the solver
ampl: option lgo_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 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.

Options¶

Full list of solver options:

LGO Options

BARON Changelog

LGO Options