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 …

The MAP-Elites algorithm produces a set of high-performing solutions that vary according to
features defined by the user. This technique to'illuminate'the problem space through the lens …

Submodular functions allow to model many real-world optimisation problems. This paper
introduces approaches for computing diverse sets of high quality solutions for submodular …

Two fundamental challenges face generative models in engineering applications: the
acquisition of high-performing, diverse datasets, and the adherence to precise constraints in …

Quality Diversity (QD) algorithms such as MAP-Elites are a class of optimisation techniques
that attempt to find many high performing points that all behave differently according to a …

In complex, expensive optimization domains we often narrowly focus on finding high
performing solutions, instead of expanding our understanding of the domain itself. But what …

The evolutionary diversity optimization aims at finding a diverse set of solutions which satisfy
some constraint on their fitness. In the context of multi-objective optimization this constraint …

In practise, it is often desirable to provide the decision-maker with a rich set of diverse
solutions of decent quality instead of just a single solution. In this paper we study …

Topology optimization is a powerful design tool in structural engineering and other
engineering problems. The design domain is discretized into elements, and a finite element …