This book delivers in-depth coverage of bat, artificial fish swarm, firefly, cuckoo search, flower pollination, artificial bee colony, wolf search, and gray wolf optimization algorithms. The text begins by addressing basic concepts related to swarm intelligence, such as randomness and chaos theory. It then describes the various swarm intelligence optimization methods, standardizing the variants, hybridizations, and algorithms whenever possible. The book not only details the similarities, differences, weaknesses, and strengths of each method, but also depicts real-world applications, emphasizing variable selection and fitness function design.