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Improving energy efficiency of Internet equipment is becoming an increasingly important research topic, motivated by the need to reduce energy costs (and Carbon footprint) for Internet Service Providers, as well as increase power density to achieve more switching capacity per-rack. While recent research has profiled the power consumption of commercial routing equipment, these profiles are coarse-grained...
A precise submersing navigation position is always the target pursued by underwater technology. The conventional dead reckoning (DR) algorithm normally uses Kalman filter to estimate positional errors. In the present study, soft computing-based models, such as Artificial Neural Network (ANN), have been used to compensate the reckoning error. The problem with ANN is the inevitable local extremum phenomenon...
As one of the popular evolutionary algorithms, differential evolution (DE) shows outstanding convergence rate on continuous optimization problems. But prematurity probably still occurs in classical DE when using relatively small population, which is discussed in this paper. Considering that large population may significantly raise the computational effort, we propose a modified DE using smaller population...
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