Streamlit Optimization Dashboard

An interactive web application built with Streamlit and Pyomo to solve and visualize a Linear Programming (LP) problem. This project was developed as a learning outcome of a mathematical optimization course.

🚀 Features

• Interactive Solvers: Choose between GLPK and CBC solvers.
• Dynamic Parameters: Adjust decision variable bounds and constraint values through a side menu.
• Real-time Visualization: See the feasible region and optimal solution plotted on a 2D graph.
• Mathematical Insights: View the underlying mathematical model with clear explanations.

🛠 Tech Stack

• Dashboard: Streamlit
• Modeling: Pyomo
• Computation: NumPy, Matplotlib
• Solvers: GLPK, CBC

📦 Installation & Usage

Prerequisites

Make sure you have Python installed. You also need optimization solvers installed on your system:

• GLPK: brew install glpk (macOS) or sudo apt install glpk-utils (Ubuntu)
• CBC: brew install coin-or-tools/coinor/cbc (macOS)

Setup

1. Clone this repository:

   git clone https://github.com/[your-username]/[repository-name].git
   cd [repository-name]

2. Install dependencies:

   pip install -r requirements.txt

3. Run the application:

   streamlit run app.py

📝 Credits

This project was developed based on the ex_LP_pyomo.py exercise from an optimization course.