The optimization problem treated here is to find x, which optimizes cost function F(x), where x = {x_1,x_2,... ,x_D} is a set of real parameters and D represents the dimension of the cost function. Domains of the real parameters are defined by their lower and upper bounds: x_j~(low), x_j~(upp); 1 ≤ j ≤ D. In this paper we consider only high-dimensional cost functions with real parameters; D up to 1000.
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