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Comparison of modern optimization algorithms for automated control tasks

This review article considers various algorithms of optimization methods for solving local and global optimization problems in automatic control theory. The necessity, essence and features of deterministic, stochastic and evolutionary methods and their algorithms will be described. As well as their mathematical and logical basis. The result of the work will be a comparative characterization of the advantages and disadvantages of the described methods and optimization algorithms, determining the level of efficiency and the amount of resources needed for each of them.