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By analyzing the defects of existing task mapping algorithms, this paper proposed a novel fault model based on spare core technology, and a fault-aware low power-dissipation dynamic task mapping algorithm FLDMA is designed based on NoC system fault, power dissipation and system performance. In the algorithm design, this paper presented the minimum mapping area selection method, designed the first-node...
Modified Artificial Fish Swarm Algorithm (MAFSA) was proposed to optimize the reactive power optimization, which is evaluated on an IEEE 57-bus power system. MAFSA based on the global search characteristic of Artificial Fish Swarm Algorithm (AFSA) and combined with the local search of chaos optimization algorithm(COA) can avoid trapping into local minimal value and decrease the iteration numbers,...
In this paper, a High Precise Optimization Algorithm for manipulating multi-layered feed-forward neural network is studied. Its basic principle is: defining neural network average error as objective function, weights and thresholds as design variables, through design variables rationally sorted, objective function is dynamically formed. Compared the new method with BP, the optimum step-length can...
Adaptive focusing particle swarm optimization (AFPSO) based on the balance characteristic between global search and local search of particle swarm optimization was an adaptive swarm intelligence optimization algorithm with preferable ability of global search and search rate. AFPSO was proposed to optimize the reactive power optimization. Based on optimal control principle, AFPSO applied for optimal...
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