Recently Evolutionary and Bio-inspired Algorithms play an important role in solving complex optimization and search problems. This book presents more than 45 metaheuristic search algorithms such as Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization, Artificial Immune System, Diffrencial Evolution, Artificial Bee Colony, Stigmergic Society Optimization, Firefly Algorithm, Krill herd search, Gravital Search, Bat Algorithm, Imperial Competetive Algorithm, etc. For each presented algorithm a separate standard pseudocode has been included. This book is suitable for all undergraduate and graduate students in all engineering fields.

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