The evolutionary diversity optimization aims at finding a diverse set of...
Evolutionary algorithms are known to be robust to noise in the evaluatio...
Computing diverse sets of high quality solutions for a given optimizatio...
Most evolutionary algorithms have multiple parameters and their values
d...
The mathematical runtime analysis of evolutionary algorithms traditional...
It was recently observed that the (1+(λ,λ)) genetic algorithm
can compar...
The (1 + (λ,λ)) genetic algorithm is a recent invention of the
theory co...
The heavy-tailed mutation operator proposed in Doerr et al. (GECCO 2017)...
Understanding when evolutionary algorithms are efficient or not, and how...
Despite significant progress in the theory of evolutionary algorithms, t...
To gain a better theoretical understanding of how evolutionary algorithm...