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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
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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.
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Selection methods

Selection is used at the beginning of each cycle of the genetic algorithm flow, to pick individuals from the current population that will be used as parents for the individuals of the next generation. The selection is probability-based, and the probability of an individual being picked is tied to its fitness value, in a way that gives an advantage to individuals with higher fitness values.

The following sections describe some of the commonly used selection methods and their characteristics.

Roulette wheel selection

In the roulette wheel selection method, also known as fitness proportionate selection (FPS), the probability for selecting an individual is directly proportionate to its fitness value. This is...

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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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