Sean Moriarity - Genetic Algorithms in Elixir
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- Book:Genetic Algorithms in Elixir
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This publication was privately produced and is not the product of an official in the United States Army acting in an official capacity. The contents of this publication, including words, images, and opinions, are unofficial and not to be considered as the official views of the United States Military Academy, United States Army, or Department of Defense. Neither this publication nor its content are endorsed by the United States Military Academy, United States Army, or Department of Defense.
A thorough coverage of genetic algorithms and Elixir from the ground up. Two books for the price of one.
| Frances Buontempo |
| Director, Buontempo Consulting Ltd |
A comprehensive guide to anyone interested in genetic algorithms and Elixir. Sean does an amazing job at breaking down even the most complicated topics and presenting them in a way thats practical and easy to understand. His unique approach to building genetic algorithms using Elixir is game-changing.
| Svilen Gospodinov |
| Freelance software engineer and consultant |
Genetic Algorithms in Elixir is a fantastic resource for a programmer interested in learning a growing new language and fascinating topic at the same time.
| Charlie Wasaff |
| Freelance software developer |
Acknowledgments
Thank you, Dave Rankin, for helping me work through the initial idea for this book and for helping me through the proposal process. This book would have never happened without your willingness to help me out in those early stages.
Thank you, Tammy Coron, for being such a pleasure to work with and guiding me through this entire process. You kept me organized and on track, your suggestions were always spot on, and my writing has improved significantly just from working with you.
Thank you, Charlie, Frances, Matt, and Svilen, for taking the time to offer your feedback and making this book the best it can be.
Thank you to my family, who was always there for me with support and encouragement.
Thank you to all of my friends, who challenged me to be better everyday with their examples.
Finally, thank you to the entire PragProg team that made this book possible. I never imagined Id become an author. My experience working with PragProg has been incredible. I am forever grateful for those who believed in me and this book and worked hard to turn it into a finished product.
Preface
Genetic algorithms are a powerful and often overlooked tool for solving difficult problems. Some of the most beautiful solutions to practical problems are inspired by or modeled after solutions found in mother nature. Genetic algorithms are no exception. Inspired by the original optimization algorithmevolutiongenetic algorithms can be used to solve a variety of problems in a variety of fields. As youll see in this book, genetic algorithms have applications in finance, logistics, artificial intelligence, and more.
Unfortunately, despite being one of the first artificial intelligence algorithms, theres a surprising lack of resources available for programmers to explore the ins and outs of using evolution to solve problems. Even still, there are no books designed specifically with Elixir programmers in mind.
My goal in writing this book is to introduce Elixir programmers to a field of programming they might have never been exposed to or were too intimidated to try. Technology evolves rapidly, and programmers need to constantly seek out and learn about new fields and new technologies. While Elixir may not be the ideal language for solving computationally expensive problems, a programmer shouldnt be forced to learn a new language just to learn about genetic algorithms.
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