23 citations · 87 across the 20 of their papers we have counts for
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cs.NE2019★ 16 cited
Exponential Slowdown for Larger Populations: The -EA on Monotone Functions
Johannes Lengler, Xun Zou
Pseudo-Boolean monotone functions are unimodal functions which are trivial to optimize for some hillclimbers, but are challenging for a surprising number of evolutionary algorithms…
cs.NE2019
Self-Adjusting Mutation Rates with Provably Optimal Success Rules
Benjamin Doerr, Carola Doerr, Johannes Lengler
The one-fifth success rule is one of the best-known and most widely accepted techniques to control the parameters of evolutionary algorithms. While it is often applied in the liter…