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This paper presents an algorithm for optimizing reactive power using Immune Ant Colony Algorithm. The hybrid algorithm uses IA to give pheromone to distribute and makes use of improved ACA to give the optimal solution. This algorithm has been applied to IEEE 30 system and shows better results and convergence rate as compared to IA and ACA and other methods.
Considering the reduction ability of rough set theory and the classification ability of artificial neural network, a rough set-artificial neural network combinatorial reliability evaluation model is constructed. The model enjoys a better topological structure and greatly increased speed for learning. The practical application to reliability evaluation for the east-red 1002 track-tractor verifies that...
A new catalytic spectrophotometric method is described for the determination of trace amounts of Al(III). The methods based on catalytic action of Al(III) on the oxidation of indigo carmine (IC) by ammonium persulfate in hexamethylene tetramine–hydrochloric acid ((CH 2 ) 6 N 4 –HCl) buffer medium (pH 5.4) and in the presence of surfactant—TritonX-100. The effects of some factors...
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