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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.
GAMS MIRO Walkthrough Part 3

Jul 31, 2025 MIRO GAMSPy
In the third part of our GAMS MIRO walkthrough, we will fine-tune our application with custom code. We’ll show you how to create a custom renderer, widget, and importer/exporter.
GAMS MIRO Walkthrough Part 2

Jul 24, 2025 MIRO GAMSPy
In the second part of our GAMS MIRO walkthrough, we will explore all the configuration options available, from changing general settings to defining default views. We’ll also demonstrate how to add an interactive dashboard to display our output.
GAMS MIRO Walkthrough Part 1

Jul 17, 2025 MIRO GAMSPy
In the first part of our GAMS MIRO walkthrough, we will guide you through converting a GAMSPy model into a fully functional web application. We’ll also show you how to set up MIRO for rapid prototyping and introduce you to the powerful pivot tool.
Optimizing the Perfect Day at Disneyland: The Winning GAMSPy Student Competition Project

May 14, 2025 Gamspy Python
We are happy to present the winning project of our 2024/2025 GAMSPy Student Competition. Yiheng Su, a PhD student from the University of Wisconsin-Madison, developed an optimization model to plan the most efficient and enjoyable day at Disneyland Magic Kingdom. Inspired by a personal trip, Su applied mixed-integer programming, data preprocessing, and visualization to create a smart route planner that balances time, ride popularity, and unpredictability. This project is the perfect example of a full-stack approach to modeling and decision-making under constraints, and showcases the practical power and accessibility of GAMSPy for solving real-life challenges.
GAMSPy: High-Performance Optimization in Python

Dec 13, 2024 Python GAMSPy
With GAMSPy, you can build your Python optimization models in record time. Learn how offloading computational tasks to GAMS, and leveraging set-based declarative algebraic modeling leads to efficient and high-performance optimization.

Authors

Atharv Bhosekar

Adam Christensen

Aileen Homey

Alexander Meeraus

André Schnabel

Bruce McCarl

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

Renke Kuhlmann

Robin Schuchmann

Steve Dirkse

Stefan Mann