Metaheuristics, such as evolutionary algorithms or simulated annealing,are widely applicable heuristic optimization strategies that have shownencouraging results for a large number of diffcult optimization problems.To show high performance, metaheuristics need to be adapted to theproperties of...

This paper presents an investigation into the properties of the optimal communication spanningtree (OCST) problem. The OCST problem nds a spanning tree that connects all nodesand satises their communication requirements for a minimum total cost. The paper comparesthe properties of randomly...

This paper sheds some light on the debate concerning evolutionary search using Prüfer numbers, and explains some of the controversial results. Previous work has shown that Prüfer numbers have low locality. Furthermore, it has been shown elsewhere that the locality of the Prüfer number depends...

While diagnostic AI systems are implemented in medical practice, it is still unclear how physicians embed them in diagnostic decision making. This study examines how radiologists come to use diagnostic AI systems in different ways and what role AI assessments play in this process if they confirm...