Initially baked tobacco formula threshing optimized design method based on genetic algorithm
A genetic algorithm and optimization design technology, applied in computing, genetic modeling, special data processing applications, etc., can solve problems such as difficulty in meeting the needs of enterprises, the quality of cigarettes does not meet the requirements, and the inability to take into account multiple index items, so as to reduce repetitions. performance, design cost and time savings
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[0052] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
[0053] The first-cured tobacco blending scheme proposed in this embodiment uses genetic algorithms to assist in optimization design. According to the different needs of different brands for different tobacco leaf quality, a plurality of first-cured tobacco sets suitable for blending can be selected, and the blending can be set by Multiple target constraints such as total sugar, total nicotine, reducing sugar, total nitrogen, protein, chlorine, potassium, Schmuck value, ratio of sugar to nicotine, ratio of potassium to chlorine, and expected yield of baked slices, using optimized combination technology, Recommend a list of optimized schemes and the proportion of each flue-cured tobacco, and calculate and analyze the estimated output, physical and chemical indicators of the scheme.
[0054] The so-called genetic algorithm is a global search...
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