BSS-QL

Work repository "Embedded Learning Approaches in the Whale Optimizer to Solve Coverage Combinatorial Problems"

Instructions

1) Create PostgreSQL Database (file and scripts to create a data bases in local postgres are in file "Table_DB_mh_resultados.sql")

2) Update "db_config.ini" with the credentials corresponding to the created database.

3) Install the settings.py for install all packages and set up the envir

4) Populate database with the experiments to be performed in "configure.py". You can follow the example with the "17.- configure (con 80a QL).py" file.

python configure.py

5) Running experiments

python main.py