EC Nutrition

The creation of software tools for generating personalized healthy nutrition plans (MMPS -Monthly Menu Planner Software), considering the absolute compliance with the nutrients recommended daily intake (RDI) and using correct and different combinations of foods as nutrient sources (according to the international food chemical composition databases, e.g. USDA/CIQUAL/BEDCA) in the daily menus recipes (considering the food recipe database), is based on an optimization problem solving algorithm (Mixed-Integer Linear Programming, MILP). The “Simplex” algorithm solves the linear part of the problem. Considering the most important restriction of 30-days non- replication of the same food nutrient source, the binary variables of MILP solver (CBC, GLPK, OR-Tools, Gurobi) are applicable for correct monthly menu plan integrated in a practical application, easy-to-use and understand by the final user.

 Keywords: Monthly Menu Planner Software (MMPS); Mixed-Integer Linear Programming (MILP); Personalized Nutrition

1. Prajapati U., et al. "Linear optimization for the perfect meal: a data-driven approach to optimising the perfect meal using gurobi” (2025).
2. Darmon N and Drewnowski A. "A review of the use of linear programming to optimize diets” (2015).
3. Schaynova M. "Nutrition adviser’s menu planning for optimal diets” (2017).
4. Lino M and Frazão E. "The Stigler diet problem and the method of linear programming” (2008).
5. Jia Y., et al. "Towards automatically generating meal plans based on genetic algorithms” (2023).
6. Drewnowski A and Almiron-Roig E. "Diet planning for humans using mixed-integer linear programming” (2008).
7. Gloudemans D. "Nutrition optimization new” (2023).
8. Khamesian S., et al. "NutriGen: Personalized meal plan generator leveraging large language models to enhance dietary and nutritional adherence” (2025).