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.