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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
KerasTensorFlow
Concepts
Artificial Intelligence
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Author (1)
Eyal Wirsansky
Eyal Wirsansky
author image
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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Technical requirements

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

  • deap
  • numpy
  • matplotlib
  • seaborn

In addition, we will be using the benchmark data from the Rosetta Code Knapsack problem/0-1 (http://rosettacode.org/wiki/Knapsack_problem/0-1), and the TSP LIB (http://elib.zib.de/pub/mp-testdata/tsp/tsplib/tsp/).

The programs used in this chapter can be found in the book's GitHub repository at https://github.com/PacktPublishing/Hands-On-Genetic-Algorithms-with-Python/tree/master/Chapter04.

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

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Hands-On Genetic Algorithms with Python
Published in: Jan 2020Publisher: PacktISBN-13: 9781838557744
© 2020 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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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