AI and SWARM: Evolutionary Approach to Emergent Intelligence - Hardcover

Iba, Hitoshi

Hardcover

ISBN 10: 0367136317 ISBN 13: 9780367136314

Publisher: CRC Press, 2019

Synopsis

This book provides theoretical and practical knowledge on AI and swarm intelligence. It provides a methodology for EA (evolutionary algorithm)-based approach for complex adaptive systems with the integration of several meta-heuristics, e.g., ACO (Ant Colony Optimization), ABC (Artificial Bee Colony), and PSO (Particle Swarm Optimization), etc. These developments contribute towards better problem-solving methodologies in AI. The book also covers emerging uses of swarm intelligence in applications such as complex adaptive systems, reaction-diffusion computing, and diffusion-limited aggregation, etc.

Another emphasis is its real-world applications. We give empirical examples from real-world problems and show that the proposed approaches are successful when addressing tasks from such areas as swarm robotics, silicon traffics, image understanding, Vornoi diagrams, queuing theory, and slime intelligence, etc.

Each chapter begins with the background of the problem followed by the current state-of-the-art techniques of the field, and ends with a detailed discussion. In addition, the simulators, based on optimizers such as PSO and ABC complex adaptive system simulation, are described in detail. These simulators, as well as some source codes, are available online on the author’s website for the benefit of readers interested in getting some hands-on experience of the subject.

The concepts presented in this book aim to promote and facilitate the effective research in swarm intelligence approaches in both theory and practice. This book would also be of value to other readers because it covers interdisciplinary research topics that encompass problem-solving tasks in AI, complex adaptive systems, and meta-heuristics.

About this title

About the Author

Hitoshi Iba is a Professor at the Graduate School of Information Science and Technology at the University of Tokyo. From 1990 to 1998, he was a senior researcher at the Electro Technical Laboratory (ETL) in Ibaraki, Japan. He is an Associate Editor of the Journal of Genetic Programming and Evolvable Machines (GPEM). He is also is an underwater naturalist and experienced PADI divemaster having completed more than a thousand dives.

From the Back Cover

This book provides both theoretical and practical knowledge about artificial intelligence (AI) and swarm intelligence. It emphasizes real-world applicability and offers empirical examples from real-world problems to demonstrate that the proposed approaches are successful when working with swarm robotics, silicon traffics, image understanding, etc.

Edition details

• Publisher: CRC Press
• Publication date: 2019
• Language: English
• ISBN 10: 0367136317
• ISBN 13: 9780367136314
• Binding: Hardcover
• Edition number: 1
• Number of pages: 250