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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.

Bu egzersiz

Introduction to Optimization in Python

kursunun bir parçasıdır
Kursu Görüntüle

Egzersiz talimatları

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

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

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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