Partial evaluation is an optimization technique traditionally used in compilation. We have adapted this technique to the understanding of scientic application programs during t...
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Abstract. This research is to design a collection of effective collective operations for the Grid scale network environment. In the Grid, several network features should be specifi...
Kyung-Lang Park, Hwang-Jik Lee, Youn-Joo Lee, Oh-Y...
We consider the bicriteria scheduling problem of minimizing the number of tardy jobs and average flowtime on a single machine. This problem, which is known to be NP-hard, is impor...
Abstract. Particle swarm optimization (PSO) is a new evolutionary computation technique. Although PSO algorithm possesses many attractive properties, the methods of selecting inert...