Genetic Programming Theory and Practice XIX

This book highlights the latest research in Genetic Programming, covering topics such as symbolic regression, evolutionary process, modular approaches, and applications in cybersecurity, biomedicine, and program synthesis.

Format: Hardback
Length: 262 pages
Publication date: 12 March 2023
Publisher: Springer Verlag, Singapore

This remarkable book brings together a diverse group of esteemed researchers from the world of Genetic Programming (GP), each excelling in their unique and captivating areas of theoretical development and practical applications of this evolutionary-based machine learning paradigm. The topics covered in this year's edition are particularly intriguing, encompassing powerful modeling techniques through GP-based symbolic regression, innovative selection mechanisms that steer the evolutionary process, modular approaches to GP, and groundbreaking applications in cybersecurity, biomedicine, and program synthesis. Additionally, readers will be treated to insightful papers by GP practitioners that emphasize usability and real-world results.

In essence, this book serves as a captivating window into the current state-of-the-art in GP research, offering a comprehensive exploration of the latest advancements and breakthroughs in this field. Whether you are a seasoned GP practitioner or a newcomer seeking to delve into the world of evolutionary computing, this book is a must-read for anyone interested in pushing the boundaries of machine learning and achieving groundbreaking outcomes.

Weight: 582g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811984594
Edition number: 1st ed. 2023