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Summary

This book is intended for Elixir programmers interested in genetic algorithms, providing an accessible introduction to solving optimization problems with Elixir's functional style.

Abstract

The book "Genetic Algorithms in Elixir" by Sean Moriarty is tailored for programmers who have some experience with Elixir and wish to explore genetic algorithms. It aims to bridge the gap between Elixir's functional programming paradigm and the computational demands of genetic algorithms, offering idiomatic solutions to optimization problems. The book assumes familiarity with Elixir, suggesting that readers with no Elixir experience may find parts of the book challenging. To aid novices, the author recommends resources like Elixir School and the Elixir Guides for foundational knowledge before diving into the book's content.

Opinions

  • The author believes that Elixir's simple syntax and functional style are conducive to creating solutions for genetic algorithms.
  • It is implied that learning genetic algorithms in conjunction with Elixir is more efficient than learning a new language specifically for this purpose.
  • The book is considered suitable for those looking to gently introduce themselves to optimization problems through genetic algorithms.
  • Readers unfamiliar with Elixir are encouraged to acquire some knowledge of the language to fully benefit from the book.
  • The author values reader feedback on code errors or formatting issues, providing a link for reporting errata to maintain the book's quality.

Who This Book Is For

Genetic Algorithms in Elixir — by Sean Moriarity (5 / 101)

👈 Preface | TOC | What’s in This Book 👉

This book is for programmers with some experience or familiarity working with Elixir, who are looking to expand their knowledge into the field of genetic algorithms. While not traditionally thought of as a language suited for computationally expensive problems, Elixir’s simple syntax and functional style make for the creation of idiomatic solutions to optimization problems with genetic algorithms. These solutions gently introduce the user to genetic algorithms and optimization problems without the overhead of learning a completely new programming language.

If you have no experience with Elixir, you might find this book difficult to follow at times. Before getting started, I recommend checking out Elixir School[1] or the Elixir Guides[2] to get some familiarity with the language.

👈 Preface | TOC | What’s in This Book 👉

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.

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