What You Learned
Genetic Algorithms in Elixir — by Sean Moriarity (33 / 101)
👈 Spelling Words with Genetic Algorithms | TOC | Chapter 4 Evaluating Solutions and Populations 👉
In this chapter, you learned how to take advantage of Elixir’s language features to better represent chromosomes. You also learned about the importance of abstraction to solving difficult problems. You used this principle to create a basic problem behaviour for modeling an optimization problem. You then learned about the different genotypes and how important encoding is.
In the next chapter, you’ll take a short detour before diving into more difficult aspects of genetic algorithms. You’ll learn about testing with randomness and verifying the correctness of the algorithms you’ve already written.
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👈 Spelling Words with Genetic Algorithms | TOC | Chapter 4 Evaluating Solutions and Populations 👉
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.

