Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Computational biology research is now faced with the burgeoning number of genome data. The rigorous postprocessing of this data requires an increased role for high performance com...
We present a load-balancing technique that exploits the temporal coherence, among successive computation phases, in mesh-like computations to be mapped on a cluster of processors....
Biagio Cosenza, Gennaro Cordasco, Rosario De Chiar...
In the era of multicores, many applications that tend to require substantial compute power and data crunching (aka Throughput Computing Applications) can now be run on desktop PCs...
Chi-Keung Luk, Ryan Newton, William Hasenplaugh, M...
Many of the optimization problems from the real world are multiobjective in nature, and the reference algorithm for multiobjective optimization is NSGA-II. Frequently, these probl...