Abstract. We study the implementation on grid systems of an efficient algorithm for demanding global optimization problems. Specifically, we consider problems arising in the geneti...
In this work, we present two perspectives of Grid computing by using two different Grid middleware as examples: an Enterprise Grid using Xgrid and a Global Grid with Gridbus. We al...
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
In this paper, we describe how inverse space-filling curve partitioning is used to increase the simulation rate of a global ocean model. Space-filling curve partitioning allows ...
— Mobility in packet networks has become a critical issue in the last years. Mobile IP and the Network Mobility Basic Support Protocol are the IETF proposals to provide mobility....