HyperNEAT represents a class of neuroevolutionary algorithms that captures some of the power of natural development with a ionally efficient high-level abstraction of development....
Jeff Clune, Benjamin E. Beckmann, Philip K. McKinl...
— The large number of network nodes and the energy constraints make Wireless Sensor Networks (WSN) one of the most important application fields for Cooperative Diversity. Node c...
Aitor del Coso, Umberto Spagnolini, Christian Ibar...
Smart antennas have gained significant importance in multihop wireless networks in recent years, because of their sophisticated signal processing capabilities that hold the potent...
Karthikeyan Sundaresan, Weizhao Wang, Stephan Eide...
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
In this paper, we present a study on the fault tolerance nature of the island model when applied to Genetic Algorithms. Parallel and distributed models have been extensively appli...