Runtime analysis of evolutionary algorithms via symmetry arguments

Benjamin Doerr (1)

1 LIX - Laboratoire d'informatique de l'École polytechnique [Palaiseau]

We use an elementary argument building on group actions to prove that the selection-free steady state genetic algorithm analyzed by Sutton and Witt (GECCO 2019) takes an expected number of $\Omega(2^n / \sqrt n)$ iterations to find any particular target search point. This bound is valid for all population sizes $\mu$. Our result improves over the previous lower bound of $\Omega(\exp(n^{\delta/2}))$ valid for population sizes $\mu = O(n^{1/2 - \delta})$, $0 < \delta < 1/2$.

Domaines: Informatique [cs]

Benjamin Doerr. Runtime analysis of evolutionary algorithms via symmetry arguments. Information Processing Letters, 2021, 166, pp.106064. ⟨10.1016/j.ipl.2020.106064⟩. ⟨hal-03348524⟩