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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
Author (1):
Eyal Wirsansky Eyal Wirsansky
Profile icon Eyal Wirsansky
LinkedIn
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.
See other products by 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 Other Books You May Enjoy

Further reading

For more information, please refer to the following resources:

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Authors (1)

Profile icon Eyal Wirsansky
LinkedIn
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
See other products by Eyal Wirsansky

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