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Blending optimization method of traditional Chinese medicinal materials based on trend balance genetic algorithm

A genetic algorithm and optimization method technology, applied in the field of traditional Chinese medicinal material blending optimization based on trend balance genetic algorithm, can solve the problems of low calculation accuracy, time-consuming, inaccurate and other problems, and achieve reliable operation, improved calculation accuracy, and high precision. Effect

Active Publication Date: 2020-01-24
JIANGXI UNIVERSITY OF TRADITIONAL CHINESE MEDICINE
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AI Technical Summary

Problems solved by technology

The traditional blending of traditional Chinese medicinal materials needs to rely on manual calculation of the blending plan, which is time-consuming, laborious, and may not be accurate enough
Therefore, in recent years, relevant researchers have proposed to use computers for automatic blending optimization. Typical automatic blending optimization methods include genetic algorithm, nonlinear least square method, etc., but their calculation accuracy is low

Method used

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  • Blending optimization method of traditional Chinese medicinal materials based on trend balance genetic algorithm
  • Blending optimization method of traditional Chinese medicinal materials based on trend balance genetic algorithm
  • Blending optimization method of traditional Chinese medicinal materials based on trend balance genetic algorithm

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Embodiment Construction

[0050]An optimization method for blending Chinese herbal medicines based on trend balance genetic algorithm, taking the blending of Pueraria decoction pieces as an example to introduce the specific implementation process:

[0051] 1. Utilize the high performance liquid phase method (HPLC) to detect the content of the active ingredients of each batch of kudzu root decoction pieces, including: puerarin and daidzin;

[0052] 2. Utilize the fingerprint analysis software to convert the content of each effective component in the Pueraria decoction pieces into a table file, and read the content table (matrix) into the memory,

[0053] ;

[0054] 3. Determine the blending target, where the ideal values ​​of puerarin and daidzein are 3.06 and 0.322;

[0055] 4. Determine the blending parameters, that is, the maximum offset of the blending ratio, where the maximum offset is usually set within 10%;

[0056] 5. Call the trend balance genetic algorithm to solve the problem;

[0057] 6...

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Abstract

A blending optimization method for traditional Chinese medicinal materials based on a tendency-balancing genetic algorithm comprises the following steps of determining active ingredient contents of each batch of traditional Chinese medicinal materials with a chromatographic instrument, converting data of the active ingredient contents of each batch of traditional Chinese medicinal materials to an ingredient content matrix through spectrum analysis software, uploading the matrix to a memory, setting blending parameters, constructing a blending mathematical model, conducting blending optimization by using the improved tendency-balancing genetic algorithm, and obtaining an optimized scheme. The optimized scheme can be used for instructing medicinal material processing and serving as a basis for a blending instrument to blend the traditional Chinese medicinal materials. According to the blending optimization method, full improvement is performed on a traditional gene algorithm, and the tendency-balancing genetic algorithm for blending optimization of the traditional Chinese medicinal materials is provided. Verified by practical application, the improved gene algorithm has the advantages of higher accuracy, precision and efficiency, and is better than the traditional gene algorithm and a nonlinear least square method in accuracy, precision and efficiency, thereby ensuring the stability of the ingredient contents of the traditional Chinese medicinal materials and the quality of the traditional Chinese medicinal materials.

Description

technical field [0001] The invention relates to a Chinese medicinal material blending optimization method based on a trend balance genetic algorithm, which can use a computer to perform automatic blending optimization on Chinese medicinal materials to calculate a blending optimization scheme. Background technique [0002] Traditional Chinese medicine originated in China and is the material basis for the prevention and treatment of diseases and the regulation of human body functions by the Chinese clan for thousands of years. Its composition is mostly plants, animals, minerals and other ingredients. Traditional Chinese medicine is mainly divided into Chinese patent medicine and traditional Chinese medicinal materials. Chinese patent medicines are usually extracted and processed products of various Chinese medicinal materials, which are easy to take, easy to carry, easy to transport, and easy to store. Therefore, Chinese patent medicine is liked by majority of patients. The...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H20/10G06N3/12
CPCG06F19/3456
Inventor 朱明峰杜建强聂斌饶毅王金钱王跃生
Owner JIANGXI UNIVERSITY OF TRADITIONAL CHINESE MEDICINE
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