Chapter 13 Moving Forward

Genetic Algorithms in Elixir — by Sean Moriarity (93 / 101)

👈 What You Learned | TOC | Learning with Evolution 👉

Throughout this book, you learned how to use genetic algorithms to solve optimization problems. You discovered the ins and outs of basic genetic algorithms and worked through solving difficult problems with a problem-solving framework. You designed a genetic algorithm framework from start to finish and expanded on this framework with the addition of basic tracking mechanisms and visualizations. You then optimized your framework with tools like ExProf and Benchee, and you learned how to ensure the code you implement within your framework is correct using tools like ExUnit and dialyxir.

At this point, you have a powerful suite of skills and tools in front of you that you can build upon or use to solve practically any problem with a genetic algorithm. One thing you might be wondering now is, “Where do I go next?”

In this chapter, you’ll learn about some of the recent advancements in genetic algorithms and the recent innovations driven by genetic algorithms and evolutionary algorithms. Additionally, you’ll get familiar with some advanced resources that you can use to continue your journey with genetic algorithms.

👈 What You Learned | TOC | Learning with Evolution 👉

Genetic Algorithms in Elixir by Sean Moriarity can be purchased in other book formats directly from the Pragmatic Programmers. If you notice a code error or formatting mistake, please let us know here so that we can fix it.