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Genetic Algorithms »

From finance to artificial intelligence, genetic algorithms are a powerful tool with a wide array of applications. But you don't need an exotic new language or framework to get started. From introductory problems to real-world applications, you'll learn the underlying principles of problem solving using genetic algorithms in Elixir.

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Genetic Algorithms in Elixir
October 21, 2020

On this day in 1879, Thomas Edison applied for a patent for the light bulb. It was such a foundational, powerful idea that the image of a light bulb over your head has become an icon for "good ideas."

What will be the next foundational, powerful idea? Maybe it's evolutionary, genetic algorithms. See how to harness this power with Genetic Algorithms in Elixir: Solve Problems Using Evolution, now available in beta from pragprog.com/titles.

Come and get it!

Genetic Algorithms in Elixir: Solve Problems Using Evolution

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 Because of this, most of the available resources are outdated or too academic in nature, and none of them are made with Elixir programmers in mind.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.

Now available in beta from pragprog.com/titles.

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