Ultimate Genetic Algorithms with Python : Build Intelligent and Adaptive AI Systems with Genetic Algorithms in Python for Machine Learning, Deep Learning, and Multi-Agent Domains (English Edition).

Format:

Book

Author/Creator:

Indrajit Kar, Zonunfeli Ralte.

Language:

English

Physical Description:

1 online resource (307 pages)

Edition:

1st ed.

Place of Publication:

Delhi : Orange Education PVT Ltd, 2025.

Summary:

Genetic Algorithms (GAs) are nature-inspired optimization tools that help AI systems adapt, improve, and solve complex problems efficiently. Ultimate Genetic Algorithms with Python explains elaborately the fundamentals of GAs to practical, Python-based implementation, using PyGAD and DEAP. The book starts with a solid foundation, explaining how evolutionary principles can be applied to optimization tasks, search problems, and model improvement. You will also explore GA applications across multiple AI domains: optimizing machine learning workflows, evolving neural network architectures in deep learning, enhancing feature selection in NLP, improving performance in computer vision, and guiding exploration strategies in reinforcement learning. Each application chapter includes step-by-step coding examples, performance comparisons, and tuning techniques. The later sections focus on advanced metaheuristics, swarm intelligence, and integrating GAs with generative and agent-based AI systems. You will also learn how to design self-evolving, multi-agent frameworks, leverage swarm-based methods, and connect GAs to next-gen AI architectures such as Model Context Protocols (MCP). Thus, by the end of the book, you will have developed all the skills to design, implement, and scale GA-driven solutions for real-world AI challenges. Hence, evolve your AI solutions--start building with Genetic Algorithms today!.

Contents:

Cover Page

Title Page

Copyright Page

Dedication Page

About the Authors

About the Technical Reviewer

Acknowledgements

Preface

Get a Free eBook

Errata

Table of Contents

1. Introduction to Genetic Algorithms

2. Fundamentals of Genetic Algorithms

3. Overview of Genetic Algorithm Libraries

4. Genetic Algorithms and Their Applications

5. Foundation of Evolutionary Algorithms

6. Advanced Evolutionary Algorithms

7. Metaheuristic Optimization Algorithms

8. Application of Evolutionary Algo (GAs) and Generative Agentic AI

9. Applying Genetic Algorithm to Machine Learning

10. Applying Deep Learning to Genetic Algorithm

11. Applying Computer Vision Application to Genetic Algorithms

12. Applying NLP to Genetic Algorithms

13. Applying Reinforcement Learning to Genetic Algorithms

14. The Future of Genetic Algorithms

Index.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Indrajit Kar, Zonunfeli Ralte Ultimate Genetic Algorithms with Python

ISBN:

9789349888333

OCLC:

1541769860