Informs 2020 Workshop - Part 3: solving models in the cloud with GAMS Engine

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Published: 17 Nov, 2020

In November 2020, we hosted a virtual workshop at the Informs Virtual Conference. The Workshop was split up into three parts about GAMS, GAMS MIRO and GAMS Engine.

In this third part of the workshop Freddy explains what GAMS Engine is, and demonstrates the various ways to interact with Engine, especially how to use the Python API to solve a typical two part energy model with an “Invest” and a “Dispatch” component.

Apologies for the bad audio at the beginning. It gets better after a few seconds!


Frederik Proske

Operations Research Analyst, GAMS Software GmbH

Frederik Proske holds a B.Sc. and M.Sc. in Engineering and Business Administration from the University of Hannover, where he also taught students concepts of Operations Research for several years.

In 2016 he joined GAMS as Operations Research Analyst. In this role, he is responsible for software development and project management in the area of mathematical programming. His core competencies are projects in the field of operations research - mostly scheduling problems - that provide customers with powerful optimization software.

Since 2018, he has been the lead engineer for GAMS MIRO, a tool that allows you to automate the use of your GAMS models. He regularly gives lectures at universities and international conferences.