This repository contains a small example demonstrating multi-objective optimization with Optuna.

Files:

• run_optuna_moo.py: Bi-objective optimization example that finds Pareto-optimal solutions and saves a plot pareto.png.
• requirements.txt: Python dependencies.

Quick start (Windows PowerShell):

python -m venv .venv; .\.venv\Scripts\Activate.ps1
pip install -r requirements.txt
python run_optuna_moo.py --trials 200 --output pareto.png

The script prints Pareto-optimal trials and saves a scatter plot of objective values.