This field of study is inspired by the social behaviors of simple agents interacting with one another and their environment, such as flocking of birds, schooling of fish, foraging of bees, and ants. The collective behaviors that emerge at the colony level are useful in achieving complex goals. The main aim of this research book is to present a sample of recent innovations and advances in techniques and applications of swarm intelligence. Particle swarm optimization and hybrid methods, ant colony optimization, bee colony optimization, glowworm swarm optimization, and complex social swarms are among the topics covered in this book. These techniques have been applied to various fields, including operational planning of energy plants, modeling and control of nanorobots, classification of documents, identification of disease biomarkers, and prediction of gene signals. This book is directed towards researchers, practicing professionals, and undergraduate and graduate students of all disciplines who are interested in enhancing their knowledge in techniques and applications of swarm intelligence.

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