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This paper analyzes the stochastic runtime of the cross-entropy (CE) algorithm for the well-studied standard problems OneMax and LeadingOnes. We prove that the total number of solutions the algorithm needs to evaluate before reaching the optimal solution (i.e., its runtime) is bounded by a polynomial ${Q(n)}$ in the problem size ${n}$ with a probability growing exponentially to 1 with ${n}$ ...
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