Title :
A Combinatorial Inverse Algorithm for Particle Sizing by Light Scattering Method
Author :
Jiang Haiying ; Li Juan ; Wang Qi
Author_Institution :
Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
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.
Keywords :
genetic algorithms; light scattering; particle size; simulated annealing; stochastic processes; annealing evolution algorithm; combinatorial inverse algorithm; genetic algorithm; global convergence; particle inversion algorithm; particle size distribution; stochastic inversion algorithm; Annealing; Distribution functions; Genetic algorithms; Genetic mutations; Integral equations; Iterative algorithms; Light scattering; Particle measurements; Size measurement; Stochastic processes; annealing evolution algorithm; genetic algorithm; particle sizing;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.145