Abstract: The article presents a computer modeling of blends of vegetable oils for treatment-and-prophylactic and healthy nutrition. To solve this problem, based on biomedical requirements, models of vegetable oil blends have been developed, taking into account the required chemical composition, mass fractions of the main components of the product, structural correlations of the biological value of blends according to the criterion of fatty acid compliance (omega-6 to omega-3). The problem was solved by the method of complete enumeration (brute force), which belongs to the class of methods for finding a solution by exhausting all sorts of options. An automated research system has been developed and implemented to model the composition of mixtures of vegetable oils in accordance with a given target function of the ratio of omega-6: omega-3 polyunsaturated fatty acids (PUFAs). The use of an automated system allowed us to model prescription formulations of blends of oils, taking into account the constraints set and a given goal function. In this study, three alternatives were obtained for a blend composition with omega-6: omega-3 in the first and second variant 5: 1, and in the third - 10: 1, which makes it possible to use them for healthy and therapeutic nutrition.

Olga S Voskanyan, Igor A. Nikitin, Marina A. Nikitina, Maria V. Klokonos, Daria A. Guseva and Igor V. Zavalishin, “Modeling of the Vegetable Oil Blends Composition” International Journal of Advanced Computer Science and Applications(IJACSA), 10(8), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100819

@article{Voskanyan2019,
title = {Modeling of the Vegetable Oil Blends Composition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100819},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100819},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {8},
author = {Olga S Voskanyan and Igor A. Nikitin and Marina A. Nikitina and Maria V. Klokonos and Daria A. Guseva and Igor V. Zavalishin}
}