A Combinatorial Inverse Algorithm for Particle Sizing by Light Scattering Method

Haiying Jiang, Juan Li, Qi Wang
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Abstract

In order to realize the stability and the accuracy of particle inversion algorithm, on the basis of present commonly used algorithm, one kind of particle size distributed stochastic inversion algorithm is proposed. The algorithm combines the advantage of the annealing evolution algorithm and the genetic algorithm and has the stronger global convergence. The algorithm has ability to distinguish the distribution of single and the twin peaks accurate, and doesn’t need any prior information based on this inversion algorithm. The localization of peak value of particle size is high. The experiment can achieve the reasonable distribution of particle size.
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光散射法颗粒粒度的组合逆算法
为了实现颗粒反演算法的稳定性和准确性,在现有常用算法的基础上,提出了一种粒径分布随机反演算法。该算法结合了退火进化算法和遗传算法的优点,具有较强的全局收敛性。该算法能够准确区分单峰和双峰的分布,并且不需要任何先验信息。粒径峰值局部化程度高。实验可以实现颗粒粒度的合理分布。
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