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.
This exercise is part of the course
Introduction to Optimization in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Define the model
model = ____
C = ____
S = ____