Genetic Algorithms in Elixir

by Sean Moriarity

Evolutionary algorithms are a unique and often overlooked subset of machine learning and artificial intelligence. Because of this, most of the available resources are outdated or too academic in nature, and none of them are made with Elixir programmers in mind.

Start from the ground up with genetic algorithms in a language you are familiar with. Discover the power of genetic algorithms through simple solutions to challenging problems. Use Elixir features to write genetic algorithms that are concise and idiomatic. Learn the complete life cycle of solving a problem using genetic algorithms. Understand the different techniques and fine-tuning required to solve a wide array of problems. Plan, test, analyze, and visualize your genetic algorithms with real-world applications.

Open your eyes to a unique and powerful field—without having to learn a new language or framework.

217 pages, Paperback

Published January 1, 2021

Reviews

[Mike Zornek · Rating 4 out of 5]

Read this as part of a book club and found it to be a helpful introduction to genetic algorithms. I myself am not very much into algorithms, and eventually started to fall off at the end of the book. Still, I am happy to have had an introduction to the concepts.