1. Learn
  2. /
  3. Courses
  4. /
  5. Introduction to Optimization in Python

Connected

Exercise

PuLP for linear optimization

A farmer faces a diet problem for their cattle. The vet's recommendation is that each animal is fed at least 7 pounds of a mix of corn and soybean with at least 17% protein and 2% fat. Below are the relevant nutritional elements:

Food type Cost ($/lb) Protein (%) Fat (%)
corn 0.11 10 2.5
soybean 0.28 40 1

You will use this information to minimize costs subject to nutritional constraints.

pulp has been imported for you.

Instructions 1/2

undefined XP
    1
    2
  • Define a model for minimization called "MinCost".
  • Define the variables for corn ("C") and soybean ("S") and make sure they are non-negative.