Hello and welcome to the séquence and last section of the class on genetic algorithms in Python.
In this lecture, I'm going to show you the plan of attack, as you can read right here.
The goal of this section is to present to use some genetic algorithms libraries now that you know the
intuition about this topic and have implemented your own algorithm from scratch.
It's time to implement genetic algorithms using pre-built libraries.
You will learn how to work with two important libraries.
The first one is deep, which means distributed evolutionary algorithms by them.
And the second one is M. L. Rose.
We will also solve the same problem about the transportation of products where the goal is to maximize
the profits.
The interesting point is that you will be able to compare the results of the algorithm implemented from
scratch with the results of the actual libraries.
Additionally, we work with another case study that aims to minimize the value of airline tickets.
Let's consider the example of France, who live in different places and they will meet in one city.
So we need to choose the flights with the lowest price for each person.
We will also implement this new case study using deep and rose libraries in the next lecture.
We will start the implementations.
See you there!