What’s in This Book

Genetic Algorithms in Elixir — by Sean Moriarity (6 / 101)

👈 Who This Book Is For | TOC | How to Use This Book 👉

In Chapter 1, ​Writing Your First Genetic Algorithm​, you’ll learn the basics of the genetic algorithm by solving an introductory optimization problem. You’ll learn about the core concepts of a genetic algorithm by writing an Elixir script. By the end of the chapter, you’ll get to see a genetic algorithm in action, and you’ll begin to understand the kinds of problems best suited for using genetic algorithms.

In Chapter 2, ​Breaking Down Genetic Algorithms​, you’ll dive deeper into the core concepts you learned about in the first chapter and you’ll use some of Elixir’s code constructs to turn the script you wrote in Chapter 1, ​Writing Your First Genetic Algorithm​, into a reusable framework for solving optimization problems. You’ll learn more about each step in the evolutionary process of a genetic algorithm and, by the end of the chapter, have a barebones framework for using genetic algorithms.

In Chapter 3, ​Encoding Problems and Solutions​, you’ll learn about how to use Elixir to represent optimization problems and solutions to optimization problems. You’ll learn about how genetic algorithms represent solutions and how you can use a variety of strategies to represent real-world solutions using code. Finally, you’ll create a program that learns how to spell in order to see how you can use Elixir behaviours to represent any optimization problem…