Abstract-- In many real-world scenarios, in contrast to standard benchmark optimization problems, we may face some uncertainties regarding the objective function. One source of the...
Abstract In this paper we focus on property-preserving preorders between timed game automata and their application to control of partially observable systems. We define timed weak ...
Peter Bulychev, Thomas Chatain, Alexandre David, K...
Abstract. We recently proposed a simple declarative language for specifying a wide range of counting and occurrence constraints. The language uses just two global primitives: the R...
Abstract. This paper deals with the mapping of the parallel islandbased genetic algorithm with unidirectional ring migrations to nVidia CUDA software model. The proposed mapping is...
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
Maurizio Filippone, Francesco Masulli, Stefano Rov...