Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Previous ultra-dependable real-time computing architectures have been specialised to meet the requirements of a particular application domain. Over the last two years, a consortiu...
Artificial neural networks (ANN's) are associated with difficulties like lack of success in a given problem and unpredictable level of accuracy that could be achieved. In eve...
—In this paper, we investigate the transmission-power assignment problem for k-connected mobile ad hoc networks (MANETs), the problem of optimizing the lifetime of a MANET at a g...
Oliviero Riganelli, Radu Grosu, Samir R. Das, C. R...
—Wireless reprogramming is a key functionality in Wireless Sensor Networks (WSNs). In fact, the requirements for the network may change in time, or new parameters might have to b...
Michele Rossi, Giovanni Zanca, Luca Stabellini, Ri...