Knowledge acquisition is a long-standing problem in fuzzy-rule-based systems. In spite of
the existence of several approaches, much effort is still required to increase the efficiency of …

Particle swarm optimization (PSO) is a bio-inspired optimization strategy founded on the
movement of particles within swarms. PSO can be encoded in a few lines in most …

In spite of the existence of a large diversity in literature related to scheduling algorithms in
computational grids, there are only a few efficiently dealing with the inherent uncertainty and …

Nowadays, Grid computing is increasingly showing a service-oriented tendency and as a
result, providing quality of service (QoS) has raised as a relevant issue in such highly …

In recent years, the fast evolution in the industry of computer hardware such as the
processors, has led the application developers to design advanced software's that require …

Many critical application domains present issues related to imbalanced learning-
classification from imbalanced data. Using conventional techniques produces biased …

The growing interest in grids technologies for the solving of large-scale computational
problems leads related framework improvement. One of the challenging problems in Grid …

Classical scheduling mechanisms don't satisfy the requirements for the end user, especially
if the number of the jobs has increased massively in grid computing environment. To meet …

Many efforts have been made in the last few years to solve the high-level scheduling
problem in Grid computing, ie, the efficient resources utilization and allocation of workload …

Grid computing has arisen as the next-generation infrastructure for high demand
computational applications founded on the collaboration and coordination of a large set of …