- Free code you can easily take it from github. - Easy to use and implementation is very easy - Helps a lot in analysis if genetic information, used frequently in genetic data science community.

What I like most are the interfaces to other code solutions. Thanks to this product, we can quickly implement code changes, both dynamic and static. This has made a lot possible in the past few weeks. The extensive documentation on GitHub with numerous examples for beginners as well as experts is especially noteworthy.

The code is free, open source and available on Github so anyone can go and look to understand the implementation and functionality of genetic algorithm. It gives good optimisation and can even handle the noise in the input to a certain extent.