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Genetic Algorithms in Elixir

What to expect from this course?

Explore the structure and goals of this genetic algorithms course in Elixir. Understand how each chapter builds foundational skills for designing, evaluating, and optimizing genetic algorithm frameworks. This lesson prepares you to follow the course in sequence and work through practical coding examples to apply learned concepts.

We'll cover the following...

Each chapter in this course builds on the last by making additions to a genetic algorithm framework in some meaningful way. For the best results, you should read this course in successive order and follow along with the code examples as they are presented to you.

Given below is a brief overview of the contents from each chapter in the course:

  • The chapter Writing Your First Genetic Algorithm introduces the basics of the genetic algorithm and its example, and outlines the kinds of problems best suited for using genetic algorithms.

  • The chapter Breaking Down Genetic Algorithms dives deeper into the core concepts, where you explore the steps involved in the evolutionary process of a genetic algorithm and design the framework for using genetic algorithms.

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