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Handling multiple elements

The farmer wants to replicate the previous optimization function to detail with more complicated meals for other animals on the farm.

The previous code has been provided. Can you adjust the previous code to make it better at handling multiple variables?

pulp has been imported for you.

Este ejercicio forma parte del curso

Introduction to Optimization in Python

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Instrucciones del ejercicio

  • Adjust the variable definition to use LpVariable.dicts(), saving them as variables with the name "Food".
  • Adjust the objective function to use lpSum().

Ejercicio interactivo práctico

Prueba este ejercicio completando el código de muestra.

model = LpProblem("MinCost", LpMinimize) 

# Adjust the variable definition
C = LpVariable("C", lowBound=0)
S = LpVariable("S", lowBound=0) 

# Adjust the objective function
cost = {'C': 0.11, 'S': 0.28}
model += 0.28*S + 0.11*C

model += 40*variables['S'] + 10*variables['C'] >= 17*(variables['C']+variables['S']), "M_protein"
model += variables['S'] + 2.5*variables['C'] >= 2*(variables['C']+variables['S']), "M_fat"
model += variables['C'] + variables['S'] >= 7, "M_weight"

model.solve()
print(f"Cost = {value(model.objective):.2f}")
print(f"Pounds of soybean = {variables['S'].varValue:.2f}, pounds of corn = {variables['C'].varValue:.2f}")
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