The current version of the GA is a standalone algorithm with functions built in. Our goal is to take every function within the GA and create a standalone version of that function that can be called by any piece of code. This will allow us to craft a more flexible version of the GA that can use the exact same selection method and genetic operators even with differing geometry that can be called by a switch.
The current version of the GA is a standalone algorithm with functions built in. Our goal is to take every function within the GA and create a standalone version of that function that can be called by any piece of code. This will allow us to craft a more flexible version of the GA that can use the exact same selection method and genetic operators even with differing geometry that can be called by a switch.