============
Introduction
============

Objective
---------
The `udao` Python library aims to solve a Multi-objective Optimization (MOO)
problem given the user-defined optimization problem and datasets.

The diagram of the UDAO pipeline is as follows.

.. image:: ../images/udao-io3.png
  :width: 400
  :alt: Diagram of the UDAO pipeline

There are three main components in the UDAO pipeline:
- **Data Preprocessing**: The data preprocessing component is responsible for
processing the input datasets and generating the data structures required by
the optimization component.
- **Model Training**: The model training component is responsible for training
the models that will act as functions for the optimization component.
- **Optimization**: The optimization component is responsible for solving the
MOO problem given the user-defined optimization problem and datasets.