Application of Genetic Algorithms in Particle Inversion

Jie Li; Hai Ying Jiang

doi:10.4028/www.scientific.net/AMR.143-144.283

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 143-144Application of Genetic Algorithms in Particle...

Application of Genetic Algorithms in Particle Inversion

Abstract:

In the general light scattering particle size measurement methods, the inversion error of results is nonuniform distribution. To solve this problem, genetic algorithms based on real number coding were proposed to be applied in the inversion of particle size distribution. In this method, the fitness function was further improved in order to reduce the individual error, it not only considered sum of all errors but also took into account the individual maximum error. With this improved fitness function, the error distribution is homogenized. The light spectrum about measurement and calculation are basic entirely fitting. The results show that the algorithm is accurate and reliable.

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Periodical:

Advanced Materials Research (Volumes 143-144)

Pages:

283-286

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.143-144.283

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Online since:

October 2010

Authors:

Jie Li, Hai Ying Jiang

Keywords:

Fitness Function, Genetic Algorithm (GA), Particle Inversion, Real Number Coding

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