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diet2.py
#!/usr/bin/env python3.7
# Copyright 2023, Gurobi Optimization, LLC
# Separate the model (dietmodel.py) from the data file (diet2.py), so
# that the model can be solved with different data files.
#
# Nutrition guidelines, based on
# USDA Dietary Guidelines for Americans, 2005
# http://www.health.gov/DietaryGuidelines/dga2005/
import dietmodel
import gurobipy as gp
from gurobipy import GRB
categories, minNutrition, maxNutrition = gp.multidict({
'calories': [1800, 2200],
'protein': [91, GRB.INFINITY],
'fat': [0, 65],
'sodium': [0, 1779]})
foods, cost = gp.multidict({
'hamburger': 2.49,
'chicken': 2.89,
'hot dog': 1.50,
'fries': 1.89,
'macaroni': 2.09,
'pizza': 1.99,
'salad': 2.49,
'milk': 0.89,
'ice cream': 1.59})
# Nutrition values for the foods
nutritionValues = {
('hamburger', 'calories'): 410,
('hamburger', 'protein'): 24,
('hamburger', 'fat'): 26,
('hamburger', 'sodium'): 730,
('chicken', 'calories'): 420,
('chicken', 'protein'): 32,
('chicken', 'fat'): 10,
('chicken', 'sodium'): 1190,
('hot dog', 'calories'): 560,
('hot dog', 'protein'): 20,
('hot dog', 'fat'): 32,
('hot dog', 'sodium'): 1800,
('fries', 'calories'): 380,
('fries', 'protein'): 4,
('fries', 'fat'): 19,
('fries', 'sodium'): 270,
('macaroni', 'calories'): 320,
('macaroni', 'protein'): 12,
('macaroni', 'fat'): 10,
('macaroni', 'sodium'): 930,
('pizza', 'calories'): 320,
('pizza', 'protein'): 15,
('pizza', 'fat'): 12,
('pizza', 'sodium'): 820,
('salad', 'calories'): 320,
('salad', 'protein'): 31,
('salad', 'fat'): 12,
('salad', 'sodium'): 1230,
('milk', 'calories'): 100,
('milk', 'protein'): 8,
('milk', 'fat'): 2.5,
('milk', 'sodium'): 125,
('ice cream', 'calories'): 330,
('ice cream', 'protein'): 8,
('ice cream', 'fat'): 10,
('ice cream', 'sodium'): 180}
dietmodel.solve(categories, minNutrition, maxNutrition,
foods, cost, nutritionValues)
