Best in class mathematical modeling. Performant, scalable, easy to learn.
model - solve - deploy

The General Algebraic Modeling Language

GAMS 43.3.1 (01 Jun 2023)
Release Notes

Express your optimization problem in our easy to learn, efficient modeling language. Find optimal solutions using world class mathematical solvers.

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Graphical User Interfaces for GAMS Models

GAMS MIRO 2.7.0 (30 Mar 2023)
Release Notes

Develop interactive user interfaces for your GAMS models and deploy them locally or in the cloud. Powerful visualization and analysis features included.

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Solve your models, either on-premises or in the cloud with our Engine SaaS. A highly scalable and reliable option for when things just have to work.

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More than just software

Workshops and Training

Learn from our experts about modeling best practices, data exchange techniques, performance tuning of your models and much more.

Model Development & Improvement

Short on modeling experience? We work with your experts to develop tailor-made decision support solutions. If you already have a working model, often we can help improve performance significantly.

Model Deployment

You have a model and need to roll it out? We can help with deployment and UI development, from 100% local to 100% cloud.

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Case Studies

Optimal Efficient Price Discovery in Dairy Trading Events

Charles River Associates operate their Trading System for Efficient Markets (TSEM™) based on a series of GAMS models and determine reference prices for the global dairy trade.

Allocating Out-of-Home Advertising Campaigns

VIOOH enables media owners to efficiently manage their large panel inventory to satisfy the business requirements of their clients.

Modeling Transportation Carbon Intensity Targets for the EU with GAMS

The ICCT asked GAMS to develop, test, and run a partial equilibrium model of the transportation sector in the EU.

Transitioning a Large Electricity Model to the Cloud

Stadtwerke München have recently transitioned their large GAMS based energy market model to the Amazon cloud.

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Supercharging GAMS models by linking to Artificial intelligence - Heuristic search and machine learning

GAMS is good at finding decision variable values that provide the optimal solution to a problem for a given set of scenario parameters. It is more difficult to find a strategy that can test combinations of potentially many parameters in an efficient way to identify optimal scenarios.

Farewell to GAMS World - A Bridge between Academia and Industry

In the ever-evolving landscape of the internet, websites come and go, reflecting the changing needs and priorities of their users. After two decades of serving as a hub for mathematical programming enthusiasts, the time has come to bid adieu to GAMS World.

GAMS at the INFORMS in Colorado

This years INFORMS Business Analytics Conference was held in Aurora Colorado. The GAMS team, represented by Adam, Logan, Steve and Bau, went to Aurora to meet with colleagues from other companies and to have interesting talks and presentations.

Optimization in the brewing industry

Mathematical optimization can be applied in various industries. One recent example can be seen in the brewing industry. A team of researchers from the University of Hamburg has developed a system that supports the Feldschlösschen brewery in producing 220 finished products from 100 semifinished products.

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