Ant Colony Optimization (ACO) has become quite popular in recent
years. In contrast to many successful applications, the theoretical
foundation of this randomized search heuristic is rather weak.
Building up such a theory is demanded to understand how these
heuristics work as well as to ... more >>>

We investigate the effect of restricting the mutation operator in
evolutionary algorithms with respect to the runtime behavior.
Considering the Eulerian cycle problem we present runtime bounds on
evolutionary algorithms with a restricted operator that are much
smaller than the best upper bounds for the ... more >>>

In Descriptive Complexity, there is a vast amount of literature on
decision problems, and their classes such as \textbf{P, NP, L and NL}. ~
However, research on the descriptive complexity of optimisation problems
has been limited. In a previous paper [Man], we characterised
the optimisation versions of \textbf{P} via expressions ... more >>>