AMPL offers superior support by our development and technical support teams.
Contact us for general queries, partnerships, and more.
We can help you find the license and offering that works best for your situation.
SUPPORT
AMPL is now on Discourse! 🎉
This is your NEW best place to talk about optimization problems, and get support for AMPL and AMPL Community Edition from our dev team and the community.
Join the conversation at discuss.ampl.com
SUPPORT
AMPL is now on Discourse! 🎉
This is your NEW best place to talk about optimization problems, and get support for AMPL and AMPL Community Edition from our dev team and the community.
Join the conversation at discuss.ampl.com
SOLVER UPDATES
All-new Gurobi 10 solver driver for AMPL!
Featuring a new network simplex algorithm, significant performance gains on MIPs, and more!
Our enhanced Gurobi driver (previously x-gurobi) is now the default gurobi driver.
AMPL offers superior support by our development and technical support teams.
Contact us for general queries, partnerships, and more.
We can help you find the license and offering that works best for your situation.
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.
LGO downloads are available from the My Downloads page of your account at the AMPL Portal, and are included in the bundles that are used for free trials.
Developer: Pintér Consulting Services, Inc.
Current version: 2014-12-04
Problem types supported: Continuous nonlinear objectives and constraints without restriction as to smoothness or convexity.
Algorithms available: A suite of methods including heuristic global presolvers, partition and search (continuous branch-and-bound), global random search (single-start and multi-start), and constrained local (reduced gradient) optimization.
Special features: An extension to support integer-valued variables is in preparation.
LGO for AMPL User’s Guide.
János D. Pintér’s home page at Rutgers Business School