Generation and Pareto optimization of sterilized meat-and-plant canned food formulations using the R programming language

Ivan Yurov; Boris Kapovsky; Marina Nikitina

doi:10.18485/meattech.2025.66.3.75

Generation and Pareto optimization of sterilized meat-and-plant canned food formulations using the R programming language

Ivan Yurov V.M. Gorbatov Federal Research Center for Food Systems of RAS, Moscow, Russia https://orcid.org/0009-0004-4404-6489
Boris Kapovsky V.M. Gorbatov Federal Research Center for Food Systems of RAS, Moscow, Russia https://orcid.org/0000-0003-0256-8655
Marina Nikitina V.M. Gorbatov Federal Research Center for Food Systems of RAS, Moscow, Russia https://orcid.org/0000-0002-8313-4105

DOI: https://doi.org/10.18485/meattech.2025.66.3.75

Keywords: pareto optimization, sterilized meat-and-plant, canned food, R programming language

Abstract

This study outlines key trends in modern software for food formulation development. An algorithm that enables the generation of a set of formulations for meat-and-plant sterilized canned products and identifies a Pareto-optimal subset thereof based on selected criteria is presented. The generation is carried out based on a developed mathematical model of a formulation that complies with the requirements of current standards. The algorithm was used to generate 1,000 formulations, of which 44 were identified as Pareto-optimal.

Published

2025-10-30

How to Cite

Yurov, I., Kapovsky, B., & Nikitina, M. (2025). Generation and Pareto optimization of sterilized meat-and-plant canned food formulations using the R programming language. Scientific Journal "Meat Technology", 66(3), 435-440. https://doi.org/10.18485/meattech.2025.66.3.75

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Issue

Vol 66 No 3 (2025): Meat Technology - Special Issue

Section

Original scientific paper