16 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.NE2022
OneMax is not the Easiest Function for Fitness Improvements
Marc Kaufmann, Maxime Larcher, Johannes Lengler +1
We study the success rule for controlling the population size of the -EA. It was shown by Hevia Fajardo and Sudholt that this parameter control mechanism can run i…
cs.NE2022
Self-adjusting Population Sizes for the -EA on Monotone Functions
Marc Kaufmann, Maxime Larcher, Johannes Lengler +1
We study the -EA with mutation rate for , where the population size is adaptively controlled with the -success rule. Recently, Hevia Fajardo and Sudho…
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…