This paper explores the role of artificial intelligence (AI) in elite sports. We approach the
topic from two perspectives. Firstly, we provide a literature based overview of AI success …

Thirty years, 1993–2023, is a huge time frame in science. We address some major
developments in the field of evolutionary algorithms, with applications in parameter …

In mixed-initiative co-creation tasks, wherein a human and a machine jointly create items, it
is important to provide multiple relevant suggestions to the designer. Quality-diversity …

Evolutionary optimization plays an important role in the representation of information from
data sets originating from various technical fields and natural sciences, as it helps to explore …

This paper introduces a user-driven evolutionary algorithm based on Quality Diversity (QD)
search. During a design session, the user iteratively selects among presented alternatives …

Here we describe quality diversity algorithms, a recent and powerful class of evolutionary
algorithms that produces a diverse set of high-performing solutions. The optimization …

In the field of metamorphic malware detection, training a detection model with malware
samples that reflect potential mutants of the malware is crucial in developing a model …

Computers can help us to trigger our intuition about how to solve a problem. But how does a
computer take into account what a user wants and update these triggers? User preferences …

1 Zusammenfassung Das Projekt AErOmAt hatte zum Ziel, neue Methoden zu entwickeln,
um einen erheblichen Teil aerodynamischer Simulationen bei rechenaufwändigen …