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Research Article

An Optimal Method of Mixed Batch Blending and Application in Traditional Chinese Medicine Blending

Mingfeng Zhu and Jianqiang Du

When manufacturing natural products such as medicine, oil, drink, etc, we need to mix multiple batches of natural products to ensure that the content of each component meets the requirements, i.e., the calculation of optimal blending scheme is a key to guarantee the quality of products. Manual calculation of the ratio of each batch of natural products is time consuming and inaccurate. Nowadays, this work is replaced by automatic computation of computer. This article introduced a kind of optimal all-purpose method for mixed batch blending of natural products which is fully automatic, accurate, stable and repeatable compared with previous work. Firstly, we suggested a kind of improved Gaussian Elimination Method to figure out the range of solutions. Secondly, we utilized backtrace algorithm to search the best solution in candidate solution set. Thirdly, we proposed a kind of automatic combination method to figure out solution, so that we can avoid selecting the concrete batches of the natural products. Fourthly, we evaluated all the solutions and found the optimal one according to the blending goals. To verify the validity of our method, we compared our method with genetic algorithm using the data of traditional Chinese medicine under the same conditions. The experiment results show that our method is more accurate than genetic algorithm and our method is stable during multiple tests.

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  How to cite this article:

Mingfeng Zhu and Jianqiang Du, 2013. An Optimal Method of Mixed Batch Blending and Application in Traditional Chinese Medicine Blending. Journal of Applied Sciences, 13: 1823-1827.

DOI: 10.3923/jas.2013.1823.1827


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