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Hands-On Genetic Algorithms with Python

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

Product type Book

Published in Jan 2020

Publisher Packt

ISBN-13 9781838557744

Pages 346 pages

Edition 1st Edition

Languages

Concepts

Artificial Intelligence

Author (1):

Eyal Wirsansky

Table of Contents (18) Chapters

Preface

Section 1: The Basics of Genetic Algorithms

An Introduction to Genetic Algorithms

Understanding the Key Components of Genetic Algorithms

Section 2: Solving Problems with Genetic Algorithms

Using the DEAP Framework

Combinatorial Optimization

Constraint Satisfaction

Optimizing Continuous Functions

Section 3: Artificial Intelligence Applications of Genetic Algorithms

Enhancing Machine Learning Models Using Feature Selection

Hyperparameter Tuning of Machine Learning Models

Architecture Optimization of Deep Learning Networks

Reinforcement Learning with Genetic Algorithms

Section 4: Related Technologies

Genetic Image Reconstruction

Other Evolutionary and Bio-Inspired Computation Techniques

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Further reading

For more information on what we covered in this chapter, please refer to Introduction to genetic algorithms, from the book Hands-On Artificial Intelligence for IoT by Amita Kapoor, January 2019, available at https://subscription.packtpub.com/book/big_data_and_business_intelligence/9781788836067.

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Hands-On Genetic Algorithms with Python

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Authors (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.

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