An Exploration of Genetic Algorithm using DEAP: COVID-19 Vaccine Distribution Optimization

Posted By Aung Nay on Dec 10, 2020


This is an exercise in the exploration of the Genetic Algorithm as part of ECE 788: Computational Intelligence class with Prof. Qing Gary Liu at the New Jersey Institute of Technology. I explored the performance comparison of different parameters of the Genetic Algorithm working on COVID-19 vaccine distribution based on US population, county-level reproductive rate of the virus, case density, ICU headroom risk factor, and likelihood of death for each age groups.

Click on the button below to visit vacdist repository.

vacdist

Submit a Comment

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Pin It on Pinterest

Share This