This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non–specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies. Since its original development in 1995, PSO has mainly been applied to continuous–discrete heterogeneous strongly non–linear numerical optimization and it is thus used almost everywhere in the world. Its convergence rate also makes it a preferred tool in dynamic optimization.

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