  Evolutionary diversity optimization aims to compute a diverse set of
solutions where all solutions meet a given quality criterion. With this paper,
we bridge the areas of evolutionary diversity optimization and evolutionary
multi-objective optimization. We show how popular indicators frequently used in
the area of multi-objective optimization can be used for evolutionary diversity
optimization. Our experimental investigations for evolving diverse sets of TSP
instances and images according to various features show that two of the most
prominent multi-objective indicators, namely the hypervolume indicator and the
inverted generational distance, provide excellent results in terms of
visualization and various diversity indicators.
