Experiments were carried out to investigate the possibility of training cellular automata to to perform processing. Currently, only binary images are considered, but the space of r...
Abstract. We consider a generalization of the classical max-cut problem where two objective functions are simultaneously considered. We derive some theorems on the existence and th...
Eric Angel, Evripidis Bampis, Laurent Gourvè...
Boosting algorithms like AdaBoost and Arc-GV are iterative strategies to minimize a constrained objective function, equivalent to Barrier algorithms. Based on this new understandi...
Abstract. In this paper we suggest a strategy to design job scheduling systems. To this end, we first split a scheduling system into three components: Scheduling policy, objective ...
Abstract-- The emerging paradigm of Grid Computing provides a powerful platform for the optimisation of complex computer models, such as those used to simulate real-world logistics...
Alex Shenfield, Peter J. Fleming, Visakan Kadirkam...