The advent of high-performance networks in conjunction with low-cost, powerful computational engines has made possible the development of a new set of technologies termed computat...
Upper bound constraints are often set when complex scientific or business processes are modelled as grid workflow specifications. However, many existing processes such as climate ...
Wireless sensor networks are revolutionizing the instrumentation of the physical world, across scientific, industrial and military applications. In this paper, we describe our eff...
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
Abstract. This paper presents ParadisEO-MOEO, a white-box objectoriented generic framework dedicated to the flexible design of evolutionary multi-objective algorithms. This paradig...