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 address problems that traditional methods cannot solve. With thousands of new algorithms, improvements, and real-world applications published each year, it can be challenging 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, giving readers a thorough understanding of the field. Students will learn the core principles and theories of common swarm intelligence algorithms, scholars will discover new research directions, and practitioners will find practical methods and guidance for their specific applications.
Volume 2 features 17 chapters that highlight cutting-edge research, including novel and recently proposed algorithms and methods.
With contributions from leading international experts, Swarm Intelligence is essential reading for engineers, researchers, professionals, and practitioners interested in this field.
