Distributed robot control systems consist of mechanical systems powered by actuators that are under the control of computer systems that rely on sensor input, such as vision, touc...
As the speed and the dynamic range of computer networks evolve, the issue of ecient trac management becomes increasingly important. This work describes an approach to trac mana...
—Dual descent methods are commonly used to solve network optimization problems because their implementation can be distributed through the network. However, their convergence rat...
Michael Zargham, A. Ribeiro, Ali Jadbabaie, Asuman...
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
The choice of the selection method used in an evolutionary algorithm may have considerable impacts on the behavior of the entire algorithm. Therefore, earlier work was devoted to t...