Particle Swarm Optimization Based on Genetic Algorithms to Optimize Ultrasonic Conditions of Extracting Chinese Medicine Effective Component

Jing Wen Tian; Yan Lu Wu; Mei Juan Gao

doi:10.4028/www.scientific.net/AMM.39.97

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 39Particle Swarm Optimization Based on Genetic...

Particle Swarm Optimization Based on Genetic Algorithms to Optimize Ultrasonic Conditions of Extracting Chinese Medicine Effective Component

Abstract:

Extraction analysis of Chinese medicine effective component is always the key technique in the production of Chinese traditional medicine. The paper introduces the conventional test method and particle swarm optimization based on genetic algorithms, which optimize ultrasonic conditions of extracting Chinese medicine effective component respectively. Experiment results show that the proposed approach in this paper is of high extraction rate, strong reliability, easy operation and can save a lot of manpower and material resources compared with traditional experiment way. So it makes clear that the presented method is of feasibility and effectiveness.

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Periodical:

Applied Mechanics and Materials (Volume 39)

Pages:

97-102

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.39.97

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Online since:

November 2010

Authors:

Jing Wen Tian, Yan Lu Wu, Mei Juan Gao

Keywords:

Chinese Medicine Effective Component, Optimization of Process, Particle Swarm Optimization Based on Genetic Algorithm, Traditional Experimental Method, Ultrasonic Wave (UW)

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