Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Schedulinglarge task graphsis an importantissue in parallel computingsince it allowsthe treatment of big size problems. In this paper we tackle the following problem: how to sched...
Michel Cosnard, Emmanuel Jeannot, Laurence Rougeot
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
This paper introduces an efficient numerical algorithm for transient analysis of deterministic and stochastic Petri nets (DSPNs) and other discrete-event stochastic systems with ...
Hoon Choi, Vidyadhar G. Kulkarni, Kishor S. Trived...
A great deal of recent research has focused on the challenging task of selecting differentially expressed genes from microarray data (`gene selection'). Numerous gene selecti...