pymoo dashboard

A tool to display live visualizations of your pymoo projects in real time

Development Setup

Python requirements

You will need to install Python (and preferably Anaconda). Once your environment is set up, you will need to run:

pip install -r requirements.txt 

Node requirements

This project uses Node, Nuxt, and Vue to build its front end UI. So to start:

1. Install Node.js
2. Enter the front end directory cd frontend
3. Run npm install

Linting Requirements

This project uses ESLint to lint the front end code. If you are using VSCode, you can install the ESLint extension to get linting in real time.

Running for development

The following command will run a sample optimization problem.

python Dashboard.py

Building the project

For Unix based OSes

./build.sh

Deploying to pymoo

Simply set the Pymoo callback function as Dashboard() and you're good to go. Make sure the Dashboard.html, Dashboard.js, and Dashboard.css are all in the same directory as whereever Dashboard.py is deployed to.

Example:

    # create the reference directions to be used for the optimization
    ref_dirs = get_reference_directions("das-dennis", 3, n_partitions=12)

    # create the algorithm object
    algorithm = NSGA3(pop_size=92,
                      ref_dirs=ref_dirs)

    # execute the optimization
    res = minimize(get_problem("dtlz1"),
                   algorithm,
                   seed=2018194,
                   callback=Dashboard(),
                   termination=('n_gen', 600))