Moriarity, Sean

Genetic Algorithms in Elixir: Solve Problems Using Evolution

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ISBN 13:
9781680507942
author:
Moriarity, Sean
format:
Paperback
publisher:
Pragmatic Bookshelf
language:
English
Publication Year:
2021
Pages:
244
Dimensions:
23.5 x 19.1 x 1.3 centimeters (0
Genre:
Computers, Artificial Intelligence, Computers,
Condition:
New
Availability:
Item usually sent within 20 working days
£24.67

Description

Genetic Algorithms in Elixir: Solve Problems Using Evolution by Sean Moriarity is an in-depth look at the algorithms, techniques, and methods used to write genetic algorithms. This book provides a comprehensive introduction to problem solving using genetic algorithms, covering introductory problems and real-world applications. You'll learn about the underlying principles of evolutionary algorithms, which are often overlooked in favor of more academic resources. The book focuses on Elixir programming, allowing you to apply these concepts to your existing language skills. You'll discover how to write concise and idiomatic genetic algorithms using Elixir features, as well as understand the complete life cycle of solving a problem using genetic algorithms. With this book, you'll gain practical knowledge of planning, testing, analyzing, and visualizing your genetic algorithms for real-world applications. No prior knowledge of genetic algorithms or machine learning is required, making it an ideal resource for those looking to explore this unique and powerful field without needing to learn a new language or framework.

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