Hyperparameter optimization (HPO) is a key component of machine learning...
Exploratory Landscape Analysis is a powerful technique for numerically
c...
Multimodality is one of the biggest difficulties for optimization as loc...
In this work we focus on the well-known Euclidean Traveling Salesperson
...
In practice, e.g. in delivery and service scenarios, Vehicle-Routing-Pro...
We consider a dynamic bi-objective vehicle routing problem, where a subs...
Artificial neural networks in general and deep learning networks in
part...
The Traveling-Salesperson-Problem (TSP) is arguably one of the best-know...
Social bots have recently gained attention in the context of public opin...
It has long been observed that for practically any computational problem...
In this work, we propose two methods, a Bayesian and a maximum likelihoo...
In this paper, we build upon previous work on designing informative and
...
User preference integration is of great importance in multi-objective
op...
In the a posteriori approach of multiobjective optimization the Pareto f...