AI and SWARM: Evolutionary Approach to Emergent Intelligence

1st Edition

Hitoshi Iba

CRC Press
September 10, 2019 Forthcoming
Reference - 234 Pages - 8 Color & 160 B/W Illustrations
ISBN 9780367136314 - CAT# K409797

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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), 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, and 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, ABC complex adaptive system simulation are described in details. 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. However, the contents of the book would be valuable to different classes of readers because the content of the book covers interdisciplinary research topics that encompass problem-solving tasks in AI, complex adaptive systems, and meta-heuristics.