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In this article we present an Elitism Levels Traverse Mechanism that wedesigned to find bounds on population-based Evolutionary algorithms solvingunimodal functions. We prove its efficiency theoretically and test it on OneMaxfunction deriving bounds c{\mu}n log n - O({\mu} n). This analysis can begeneralized to any similar algorithm using variants of tournament selection andgenetic operators that flip or swap only 1 bit in each string.

Elitism Levels Traverse Mechanism For The Derivation of Upper Bounds on Unimodal Functions