We are proud to announce the release candidate for GAMS MIRO 1.0. GAMS MIRO is the new deployment environment for your GAMS models. Turn your models into fully-fledged applications in minutes and adapt them to your specific needs. No programming knowledge required!
Speaker: Frederik Proske
Published: 21 Apr, 2020
GAMS MIRO Engine is a new, highly scalable version of GAMS that is tailored to cloud environments. MIRO Engine moves the heavy computation away from local PCs to servers and takes care of distributing your optimization jobs. It scales up or down depending on the workload. With the built-in user management system, you can limit user activities to reflect your organizational hierarchy.
Speaker: Hamdi Burak Usul
Published: 02 May, 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 first part of the workshop Stefan explains the benefits of GAMS and demonstrates how to implement and solve a simple optimization problem.
Speaker: Stefan Mann
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 second part of the workshop Freddy explains how to turn a model into a GAMS MIRO app and how to deploy it.
Speaker: Frederik Proske
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.
Speaker: Frederik Proske
Published: 17 Nov, 2020
SHOT (Supporting Hyperplane Optimization Toolkit) is a deterministic solver for mixed-integer nonlinear programming problems (MINLPs). Originally, SHOT was intended for convex MINLP problems only, but now also has functionality to solve nonconvex MINLP problems as a heuristic method without providing guarantees of global optimality. However, SHOT can solve certain nonconvex problem types to global optimality as well.
Speaker: Andreas Lundell and Jan Kronqvist
Published: 15 Apr, 2021