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MetaOPT is a Python-based web application that employs metaheuristics in optimization and feature selection.

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MetaOPT: A Python-based Web Application for Metaheuristics

This is a web application that employs metaheuristics in optimization and feature selection.

How to use

After getting the source code, install the requirements:

python3 -m pip install -r requirements.txt

To run the project, use:

python3 manage.py runserver --insecure

Remember to apply the migrations with:

python3 manage.py migrate

To load data from the fixtures, use:

python3 manage.py loaddata optimizers.json

For running tasks, have redis-server up and execute:

celery --app metaopt worker -l debug

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MetaOPT is a Python-based web application that employs metaheuristics in optimization and feature selection.

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