The problem of analysis and optimal synthesis of diets based on mathematical programming methods and artificial intelligence technologies is considered. The developed algorithms, programs, databases, knowledge bases allow you to cover all the variety of existing diets, while providing the required balanced chemical composition of the diet with numerous restrictions on nutrients according to nutrition standards, the chemical composition of raw materials and ready meals; the balance of calcium, magnesium, phosphorus; saturated, monounsaturated, polyunsaturated fatty acids; essential amino acids (amino acid score); caloric content; plant and animal nutrients, etc., heat treatment losses, various phenotypic factors, restrictions related to with diseases. The discussed issues related to genetics, genomics, proteomics, nutrigenomics, biochemistry, allowed us to significantly expand our knowledge and capabilities in technology, quality and food safety. Consideration of this variety of factors is implemented in the created system by using a system-cybernetic structured model built on the basis of mathematical models and information technologies that operate with hundreds of nutrients and food products.
nutrition, optimal synthesis of diets, genomics, nutrigenomics, artificial intelligence, databases, knowledge bases
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