A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
Creating ensembles of random but "realistic" topologies for complex systems is crucial for many tasks such as benchmark generation and algorithm analysis. In general, exp...
—It has been shown that the well-known cutset bounds can be achieved for deterministic wireless networks by performing random coding at each intermediate node. The complexity and...
Mohammad A. (Amir) Khojastepour, Alireza Keshavarz...
Abstract-- We study the convergence rate of average consensus algorithms in networks with stochastic communication failures. We show how the system dynamics can be modeled by a dis...
Abstract. Even and Mansour [EM97] proposed a block cipher construction that takes a publicly computable random permutation oracle P and XORs different keys prior to and after appl...