Genetic algorithm (GA) is a commonly used algorithm in optical network routing and wavelength assignment (RWA). In order to adapt to the development trend of next-generation software-defined optical network (SDON) with higher speed, wideband, long distance and large capacity, this paper proposes a dynamic, improved GA-based RWA algorithm which reduces the complexity of the algorithm and improves the performance of the algorithm. The simulation results show that the algorithm can effectively reduce the blocking rate and improve resources utilization rate in SDON compared with the classical algorithm and GA.
In order to study the effect of adding hexamethylenetetramine (C6H12N4) on the infrared radiation properties of a mixture decoy of Pb3O4/PTFE/Mg, a formula of Pb3O4/PTFE /Mg = 10: 3: 7 was taken as a basic formula, and different content of C6H12N4 was added in the basic formula to design seven different pharmaceutical formulations. The Combustion process of samples was recorded using a 3-5 micron mid-infrared thermal imager, and the burning time, mass burning rate, radiation area, radiance, as well as the radiation intensity of each sample were calculated. The experimental results show that with the continuous addition of C6H12N4, the combustion temperature of the samples increased firstly and then decreased, besides, the combustion time became longer while the mass burning rate became smaller, when the proportion of additives reached 6%, the temperature came to its maximum of 916.76°C and the radiant brightness was increased from 10956.50 W/m2/Sr to 13517 W/m2/Sr. The longest combustion time was 9.32s with the lowest mass burning rate of 1.72g/s when the proportion of additives reached 15%. And the radiation intensity was increased from 1079.05W/Sr to 1254.1W/Sr when the proportion of additives reached 9%. This showed that the appropriate addition of 6% to 9% of C6H12N4 in the basic formulation contributes to the improvement of the combustion performance and radiation performance of the Pb3O4/Mg/PTFE decoy.
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