Mixed Integer Goal Programming for Meal Optimization
A practical optimization framework for food quantities, macros, and calories.
Summary
This work proposes a meal optimization framework that combines integer programming with goal programming to produce realistic meal plans with discrete servings and soft nutritional targets.
The method aims to hit calorie and macronutrient objectives while preserving practical feasibility. It is designed to avoid brittle hard-constraint behavior and support useful trade-offs when perfect target matching is not possible.
Quick Info
- Theme: Nutrition planning with optimization under realistic constraints.
- Method: Integer servings + goal programming deviations.
- Use case: Practical meal composition without overshooting targets or creating unusable plans.