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

Computer Science – Neural and Evolutionary Computing

Scientific paper

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accepted to Congress on Evolutionary Computation (WCCI/CEC) 2012

Scientific paper

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

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