
- 248 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Automatic Generation Of Algorithms
About this book
In the rapidly evolving domain of computational problem-solving, this book delves into the cutting-edge Automatic Generation of Algorithms (AGA) paradigm, a groundbreaking approach poised to redefine algorithm design for optimization problems. Spanning combinatorial optimization, machine learning, genetic programming, and beyond, it investigates AGA's transformative capabilities across diverse application areas. The book initiates by introducing fundamental combinatorial optimization concepts and NPhardness significance, laying the foundation for understanding AGA's necessity and potential. It then scrutinizes the pivotal Master Problem concept in AGA and the art of modeling for algorithm generation. The exploration progresses with integrating genetic programming and synergizing AGA with evolutionary computing. Subsequent chapters delve into the AGA-machine learning intersection, highlighting their shared optimization foundation while contrasting divergent objectives. The automatic generation of metaheuristics is examined, aiming to develop versatile algorithmic frameworks adaptable to various optimization problems. Furthermore, the book explores applying reinforcement learning techniques to automatic algorithm generation. Throughout, it invites readers to reimagine algorithmic design boundaries, offering insights into AGA's conceptual underpinnings, practical applications, and future directions, serving as an invitation for researchers, practitioners, and enthusiasts in computer science, operations research, artificial intelligence, and beyond to embark on a journey toward computational excellence where algorithms are born, evolved, and adapted to meet ever-changing real-world problem landscapes.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Automatic Generation Of Algorithms by Victor Parada in PDF and/or ePUB format, as well as other popular books in Computer Science & Neural Networks. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover Page
- Half Title
- Series Page
- Title Page
- Copyright Page
- Dedication
- Contents
- Preface
- Acknowledgments
- Structure of the Book
- Chapter 1 Overview of Optimization
- Chapter 2 The Master Problem
- Chapter 3 Modeling Problems
- Chapter 4 AGA with Genetic Programming
- Chapter 5 AGA and Machine Learning
- Chapter 6 Producing Metaheuristics Automatically
- Chapter 7 AGA with Reinforcement Learning
- Chapter 8 Conclusions and Future Trends
- Bibliography
- Index