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This online course is for students and software developers who want to **level up** their skills by learning an interesting optimization algorithm in C++.

You will **learn one of the most famous AI algorithms **by writing it in C++ **from scratch**, so we will not use any libraries.

The Genetic Algorithm is the most famous one in a class called **metaheuristics** or **optimization algorithms**. You will learn **what optimization algorithms are**, when to use them, and then you will solve two problems with the Genetic Algorithm(GA).

These problems are: **a continuous problem**(find the maximum/minimum of a continuous function) and the **Travelling Salesperson Problem **(TSP), where you have to find the shortest path in a network of cities.

Prerequisites:

- understand basic C++
- any C++ IDE (I am using Visual Studio)
- understanding of algorithms
- understand mathematics

I recommend that you **do the examples** yourself, instead of passively watching the videos.

Here’s a brief outline of what you will learn:

- What optimization algorithms are
- Genetic Algorithm theory:
- General structure
- How crossover is done
- How mutation is done

- Genetic Algorithm on a continuous problem:
- Challenges particular to continuous problems: decoding the bits (“chromosomes”) into a float value
- Crossover: tournament selection and single point crossover
- Mutation

- Genetic Algorithm on the TSP (Travelling Salesperson Problem):
- Creating a fitness function for the TSP
- Challenge particular to this problem: how to do crossover?
- Mutation

**Sign up now and let’s get started!**

- Students and software developers who want to learn interesting algorithms
- Anyone interested in this metaheuristic algorithm

- Understand basic C++ and you should have a C++ IDE (any, I am using Visual Studio)
- An understanding of some mathematics
- An understanding of general algorithmics
- An interest in cool algorithms 🙂