You're reading from Hands-On Genetic Algorithms with Python

Product typeBook

Published inJan 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781838557744

Edition1st Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Artificial Intelligence

Author (1)

Eyal Wirsansky

Technical requirements

In this chapter, we will be using Python 3 with the following supporting libraries:

deap
numpy
networkx

The programs that will be used in this chapter can be found in this book's GitHub repository at https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python/tree/master/Chapter12.

Check out the following video to see the Code in Action:
http://bit.ly/2Gx4KsL

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Hands-On Genetic Algorithms with Python

Published in: Jan 2020Publisher: PacktISBN-13: 9781838557744

Author (1)

Eyal Wirsansky

Eyal Wirsansky is a senior data scientist, an experienced software engineer, a technology community leader, and an artificial intelligence researcher. Eyal began his software engineering career over twenty-five years ago as a pioneer in the field of Voice over IP. He currently works as a member of the data platform team at Gradle, Inc. During his graduate studies, he focused his research on genetic algorithms and neural networks. A notable result of this research is a novel supervised machine learning algorithm that integrates both approaches. In addition to his professional roles, Eyal serves as an adjunct professor at Jacksonville University, where he teaches a class on artificial intelligence. He also leads both the Jacksonville, Florida Java User Group and the Artificial Intelligence for Enterprise virtual user group, and authors the developer-focused artificial intelligence blog, ai4java.
Read more about Eyal Wirsansky

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