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GAMS Practices

This repository contains a collection of practice problems and solutions implemented in GAMS, focusing on core topics in Operations Research and Optimization.

The models are prepared as part of academic practice and cover various linear programming and network flow applications.


Contents

Each folder corresponds to an individual practice problem:

Practice 1 – Basic Linear Programming

  • Formulates a basic linear programming model.
  • Focuses on production planning with resource constraints.

Practice 2 – Feed Mixing Problem

  • Minimum-cost feed mixing model.
  • Satisfies nutritional requirements while limiting fat content.

Practice 3 – Speaker Pairing Optimization

  • Pairing speakers based on frequency response differences.
  • Minimizes matching coefficients under quality constraints.

Practice 4 – Production Planning Under Demand Uncertainty

  • Multi-period production planning problem.
  • Considers demand uncertainty and adjustment costs.

Practice 5 – Shortest Path Problem

  • Shortest-path formulation using linear programming.
  • Determines the minimum-distance route in a road network.

Practice 6 – Landing Gear Planning

  • Minimum-cost network flow model.
  • Plans procurement and repair of landing gear systems over time.
  • Considers fast and slow repair options with different costs and delays.

Technologies Used

  • GAMS (General Algebraic Modeling System)
  • Linear Programming
  • Non-Linear Programming
  • Network Flow Models
  • Operations Research Techniques

Notes

  • Problem descriptions and assumptions are documented within each model file.
  • All solutions are written directly in GAMS syntax.
  • This repository is intended for learning and academic reference purposes.

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A collection of GAMS practice models covering linear programming, network flow, and optimization applications.

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