GAMS for Optimization

 GAMS for Optimization | From Problem Formulation to Solution

In this video, I walk through how GAMS is used to model and solve optimization problems in a clear, structured way. We cover how to define sets, parameters, variables, constraints, and objective functions, and how GAMS connects your mathematical formulation to powerful solvers.

The focus isn’t just syntax. I explain how to think about optimization problems so your model actually reflects the real system you’re trying to solve. Whether you’re working on energy systems, operations research, economics, or engineering applications, this video helps bridge the gap between theory and implementation.

If you’re new to GAMS or looking to strengthen your modeling fundamentals, this tutorial will give you a solid starting point and practical insights you can reuse in your own projects.

 Topics covered:

1. Optimization problem structure

2. GAMS model components

3. Constraint and objective formulation

4. Solving and interpreting results