Mixed Integer Linear Programming - Optimization in Python with CPLEX (Part 3)

YouTube Excerpt: In this video, we introduce Mixed Integer Linear Programming (MILP) and show how to implement it in Python by using docplex. This video series introduces several Mathematical Optimization Problems and shows how to solve them in Python via docplex package (Python interface to CPLEX). ❔Answers to ↪︎ What is Integer Programming? ↪︎ How can I code a Mixed Integer Linear Program using docplex package? ↪︎ How can add constraints using docplex package? ↪︎ How can solve a Mixed Integer Linear Program using docplex package? ⌚ Content: ↪︎ 0:00 - Intro ↪︎ 0:32 - Mixed Integer Linear Program (MILP) ↪︎ 1:55 - The standard form ↪︎ 2:42 - The example model ↪︎ 3:17 - Implementation of the model ↪︎ 3:42 - Adding decision variables ↪︎ 4:20 - Adding constraints ↪︎ 5:39 - Solving the linear model 🌎 Follow Coding Perspective: ↪︎ Twitter → http://twitter.com/CodingPerspect ↪︎ Instagram → http://www.instagram.com/codingperspective/ 🎥 Video series: ↪︎ Dynamic Programming Algorithms in Python → http://bit.ly/3tFZtXe ↪︎ Mathematical Optimization → http://bit.ly/36YlMgO ↪︎ Programming in R → http://bit.ly/30W7Rop ↪︎ LaTeX Tutorials → http://bit.ly/2Syj4uq ↪︎ Machine Learning 101 → https://bit.ly/341d8Qe

In this video, we introduce Mixed Integer Linear Programming (MILP) and show how to implement it in Python by using docplex. This video series...

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