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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) - Softcover

Kar, Indrajit; Ralte, Zonunfeli; AVA, Orange

 
9789349888333: 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)
Softcover
ISBN 10: 9349888335 ISBN 13: 9789349888333
Verlag: Orange Education Pvt Ltd, 2025

Inhaltsangabe

Harness Genetic Algorithms to Build the Next Generation of Adaptive AI.

Book Description
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.

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

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Verlag
Orange Education Pvt Ltd
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
9349888335
ISBN 13 
9789349888333
Einband
Taschenbuch
Anzahl der Seiten
449
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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Osnabrück
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