INFORMATIZATION AND MANAGEMENT

Engineering model of personalized nutrition and stochastic multi-criteria optimization of diets

Authors

  • Vyacheslav A. Borisov International Center for Engineering and Innovation, 125424, Moscow, Volokolamskoye Highway, Building 73, Office 514
  • Evgeny I. Bitus Russian University of Biotechnology, 125080, Moscow, Volokolamskoe Highway, 11
EDN: CVMKZF

How to cite

GOST Borisov V. A., Bitus E. I. Engineering model of personalized nutrition and stochastic multi-criteria optimization of diets // Bakery of Russia. 2026. Vol. 70. No. 1-2. P. 24-31.
APA Borisov, V. A. & Bitus, E. I. (2026). Engineering model of personalized nutrition and stochastic multi-criteria optimization of diets. Bakery of Russia, 70(1-2), 24-31.

Abstract

The article proposes a new approach to modeling personalized nutrition based on the analogy with the strength of composites. A two-component “matrix-filler” model is composed, where the genetically determined metabolic potential of a person acts as a matrix, and nutrients act as a filler. The efficiency indicator of the metabolic system (“integral indicator of health”) is determined as the sum of the contributions of the basic level and the modifying effect of nutrients, taking into account their share, efficiency, and individual genetic coefficients. To solve the problem of multi-criteria selection of the optimal diet under conditions of uncertainty, the SMAA-MOORA method was used, which allows ranking alternatives by the probability of achieving the best result. Based on the analysis of the acceptability index ranks, the optimal recipes for pasta products with the addition of banana flour and hydrocolloids were determined.

Keywords

personalized nutrition composite materials matrix-filler integral health indicator SMAA-MOORA decision-making experiment planning

Funding

The authors did not declare any external funding for this research.

References

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Issue

Vol. 70 No. 1-2 (2026): Bakery of Russia

Section

INFORMATIZATION AND MANAGEMENT

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