Swarm Intelligence (SI) is a relatively new area of artificial intelligence, in which the essential part is a cooperation between agents. In the literature we can find many algorithms which are in the family of SI, but as pioneers of swarm intelligence we can identify three algorithms such as: stochastic diffusion search, ant colony optimization (ACO), and particle swarm optimization (PSO). The swarm’s intelligence family is constantly growing and newer algorithms based on the nature and cooperation between particular agents are created. Already existing SI algorithms have been strongly developed, and their new modifications are proposed. Due to these modifications, we can, for example, use the PSO algorithm for solving discrete problems ...
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