The systematic optimization for the MEKC separation of PTC amino acids by using a dynamic scouting optimization method controlled weighted centroid variable size simplex algorithm was established.
采用控制加权可变步长单纯形算法对PTC氨基酸的毛细管胶束电动色谱分离体系进行动态优化。
The simulation results show that the algorithm has better estimation error and node localization coverage than common weighted-centroid algorithm.
实验结果表明，与普通加权质心算法相比较，该算法具有更高的定位覆盖度和定位精度。
The simulation results show that the algorithm has better estimation error and node localization coverage than common weighted-centroid algorithm.
实验结果表明，与普通加权质心算法相比较，该算法具有更高的定位覆盖度和定位精度。
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