Abstract. Learning in a multiagent environment is complicated by the fact that as other agents learn, the environment effectively changes. Moreover, other agents’ actions are oft...
Network virtualization is a paradigm that allows for flexible and efficient allocation of the resources among multiple virtual networks (VNets). In this paper we deal with the p...
Guy Even, Moti Medina, Gregor Schaffrath, Stefan S...
Abstract. The optimization of a Fuzzy Cognitive Map model for the supervision and monitoring of the radiotherapy process is proposed. This is performed through the minimization of ...
Konstantinos E. Parsopoulos, Elpiniki Papageorgiou...
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Estimating peak power involves optimization of the circuit's switching function. We propose genetic spot expansion and optimization in this paper to estimate tight peak power...