The GAMS blog

Expanding the Focus: Introducing the MIPfeas Benchmark

Mar 17, 2026 Solvers

In the world of Mixed-Integer Programming (MIP), the “gap”—the distance between our incumbent solution and the dual bound—remains the gold standard. This mathematical rigor is precisely why we use MIP: it provides a proven certificate of quality that other heuristic methods cannot match. However, while a solution’s proof of optimality is crucial, the path to that solution is equally important.
Optimizing Weather Radar Networks for Texas: The Winning GAMSPy Student Competition Fall 2025 Project

Feb 8, 2026 Gamspy Python
We are happy to present the winning project of our GAMSPy Student Competition Fall 2025. Nikhil Trivedi, an undergraduate student from the University of Wisconsin-Madison, took first place with a project that tackles the critical meteorological challenge of improving early warning systems. Framing the problem as a Facility Location Problem (FLP), Nikhil took an innovative approach that combined physics and optimization in GAMSPy.
The Year 2025 for GAMS Solvers

Jan 26, 2026 Solvers
GAMS includes around 30 mathematical programming solvers with its distribution, many of them receiving constant updates. In this short article, we revisit major updates to these solvers from 2025.
Gurobi Returns to GAMS and GAMSPy

Nov 24, 2025 GAMS GAMSPy Solvers
What if your optimization runs finished in half the time - or if a complex MIP you thought was intractable now converged in minutes? Gurobi returns to the GAMS ecosystem and users once again have access to one of the leading high-performance solvers.
Speed vs. Guarantees: A Practical MIP–NLP Trade-off for NN Robustness

Nov 12, 2025 GAMSPy
A hands-on comparison of ReLU modeling in GAMSPy, MIP vs NLP, for adversarial verification on realistic networks. The workflow, code snippets, and trade-off between speed and guarantees are all explained in details.
Turning Solver Complexity into Solver Power: The GAMS Advantage

Nov 10, 2025 GAMS GAMSPy Solvers
Mathematical optimization depends on solvers - yet using them effectively can be daunting. At GAMS, we turn solver complexity into solver power, providing both a unified modeling interface and deep, decades-long expertise in solver development.
INFORMS Annual Meeting in Atlanta

Oct 31, 2025 News Conference Report
We had a great week at the INFORMS Annual Meeting 2025 in Atlanta, with an active booth and well-attended presentations. It was great to see strong interest in GAMSPy and connect with so many users and researchers. Thanks to everyone who stopped by!
What’s New in GAMSPy? A Look at the Awesome Features Since Version 1.0.0!

Oct 22, 2025 GAMSPy
It’s been an exciting year for the GAMSPy community! Since the stable 1.0.0 release, we’ve been hard at work making our favorite optimization modeling package even more powerful, intuitive, and efficient.
GOR 2025 in Bielefeld

Sep 8, 2025 News Conference Report
The GOR Annual Meeting 2025 took place in Bielefeld from September 2–5, hosted by Bielefeld University under the theme Operations Research in a Complex World
GAMSPy at One: Advancing Optimization in Python

Sep 2, 2025 GAMSPy
It’s been one year, and what started as an idea to bring GAMS technology natively into Python has become a trusted tool for the optimization community.

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Authors

Ahmed Alqershi

Atharv Bhosekar

Adam Christensen

Aileen Homey

Alexander Meeraus

André Schnabel

Bruce McCarl

Burak Usul

Christophe Gouel

Clemens Westphal

Evangelos Panos

Fred Fiand

Freddy Proske

George Franco

Hans Lofgren

Justine Broihan

Julien Harou

Janina Hasselbring

Leonard Kunz

Logan Randolph

Lutz Westermann

Mohammed Basheer

Marius Bützler

Michael Bussieck

Mateo Gallia

Michael Horstmann

Muhammet Soytürk

Renke Kuhlmann

Robin Schuchmann

Steve Dirkse

Stefan Mann

Stefan Vigerske