Optimizer

This repository contains a solution for optimizing a response variable while meeting specifications on other response variables. The solution uses mathematical and statistical models to analyze limited experimental or simulated data points to achieve the optimal output.

Results

The optimal parameters for the minima found were:

• C: 253.76884422110552
• R: 46.35678391959799

And the minimum cost found was:

• T: 32.433675076245216

Final plot

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Repository Structure

• ./sol/: The final submission data and scripts to run the optimization
• ./requirements.txt: A list of required Python packages
• ./imgs/: Contains images of results after multiple stages of optimization
• ./tests/: Contains approach and initial testing of methods
• ./apk/: Directory containing .apk that provides results for the Black-Box function

Prerequisites

• Python 3.x
• Required Python packages (listed in requirements.txt)

Setup Instructions

1. Clone the repository:

   git clone https://github.com/sudo-boo/optimizer-azeotropy
   cd optimizer-azeotropy

2. Install dependencies:

   Make sure you have pip installed, then run:

   pip install -r requirements.txt

Run the Code

To execute the optimization script, run:

python ./sol/final-solution.py