Parallel programming models based on a mixture of task and data parallelism have shown to be successful in addressing the increasing communication overhead of distributed memory p...
–Application of hardware-parameterized models to distributed systems can result in omission of key bottlenecks such as the full cost of inter- and intra-node communication in a c...
Compared to the last decades, we have recently seen more and more governmental applications which are provided via the Internet directly to the citizens. Due to the long history o...
Andreas Ekelhart, Stefan Fenz, Thomas Neubauer, Ed...
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Global optimization can be used as the main component for reliable decision support systems. In this contribution, we explore numerical solution techniques for nonconvex and nondi...