Swarm Intelligence (SI) is a key and complex area within computational intelligence, focusing on the study of collective behaviors in natural or social swarms to tackle problems that traditional methods cannot solve. With thousands of new algorithms, improvements, and real-world applications published each year, it can be difficult for researchers and students to keep up with the latest developments and share ideas. This comprehensive and timely collection addresses that need by systematically presenting the latest research, offering readers a thorough overview of the field. Students will gain an understanding of the core principles and theories behind common swarm intelligence algorithms, scholars will discover new research directions, and practitioners will find practical methods and guidance for their specific applications.
Volume 3 features 27 chapters dedicated to real-world applications of swarm intelligence and related evolutionary algorithms.
With contributions from leading international experts, Swarm Intelligence is essential reading for engineers, researchers, professionals, and practitioners interested in this field.
