AI-eXtended Design (AIXD)

Introduction

In the current repository we collect the code for the general methodology for augmented generative design. This methodology allows to invert the standard paradigm of parametric modelling, where the designer needs to tweak and tune the input parameters, iteratively or through trial and error, for achieving some desired performance values.

Instead, this method allows to, by just specifying the requirements' values, obtain a range of designs that closely approximate those. Besides, the present methodology allows the user to explore the design space, understand how different parameters relate to each other, areas of feasible and unfeasible designs, etc.

Installation

Install using conda:

conda env create -f environment.yml

This creates a conda environment called aixd with python 3.9 and all the dependencies defined in requirements.txt as well as installing the aixd package itself in editable mode.

Development

If you are going to develop on this repository, also install the development requirements:

pip install -e ".[examples, dev]"

Check the contribution guidelines for more details.

Folders and structure

The structure we follow on the current repo is as follows:

• examples : all example applications of the aixd toolbox
• src : for all source code. It can be structure following the next structures
  • src/aixd : source code of aixd toolbox

Known issues

• Plotly image export can cause a hang of the system. This is due to a bug in Kaleido (the library used by Plotly for image export) reported in here. A workaround is to downgrade Kaleido to version 0.1.0.post1, which can be done by running pip install kaleido==0.1.0.post1.