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An optimization algorithm is proposed by means of integrating the generalized ant colony optimization (GACO) with progressive optimal algorithm (POA), and is applied to the optimal operation of cascade reservoirs. This integrated algorithm possesses large scale search capability of generalized ant colony algorithm and better local search capability of progressive optimal algorithm at the same time...
A new fuzzy optimization neural network model is proposed based on the Levenberg-Marquardt (LM) algorithm on account of the disadvantages of slow convergence of traditional fuzzy optimization neural network model. In this new model, the gradient descent algorithm is replaced by the LM algorithm to obtain the minimum of output errors during network training, which changes the weights adjusting equations...
In this work, we study the time-slot allocation problem in a multi-sink single-hop TH-UWB network scenario, where the traffic from a sensor node is anycasted via a single hop to any one of multiple sinks. The slot allocation problem is formulated as an optimization problem and shown to be NP-hard. We then present a heuristic to increase network throughput and fairness as compared to a random allocation...
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