A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions

Abstract

Evolutionary algorithms (EAs) are population-based general-purpose optimization algorithms, and have been successfully applied in various real-world optimization tasks. However, previous theoretical studies often employ EAs with only a parent or offspring population and focus on specific problems. Furthermore, they often only show upper bounds on the… (More)
DOI: 10.1007/978-3-319-46257-8_49

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