Optimization with Python: Solve Operations Research Problems

Solve optimization problems with CPLEX, Gurobi, Pyomo... using linear programming, nonlinear, evolutionary algorithms...
4.53 (1707 reviews)
Udemy
platform
English
language
Data Science
category
Optimization with Python: Solve Operations Research Problems
12,236
students
13 hours
content
Mar 2025
last update
$84.99
regular price

What you will learn

Solve optimization problems using linear programming, mixed-integer linear programming, nonlinear programming, mixed-integer nonlinear programming,

LP, MILP, NLP, MINLP, SCOP, NonCovex Problems

Main solvers and frameworks, including CPLEX, Gurobi, and Pyomo

Genetic algorithm, particle swarm, and constraint programming

From the basic to advanced tools, learn how to install Python and how to use the main packages (Numpy, Pandas, Matplotlib...)

How to solve problems with arrays and summations

Screenshots

Optimization with Python: Solve Operations Research Problems - Screenshot_01Optimization with Python: Solve Operations Research Problems - Screenshot_02Optimization with Python: Solve Operations Research Problems - Screenshot_03Optimization with Python: Solve Operations Research Problems - Screenshot_04
3957970
udemy ID
4/4/2021
course created date
4/11/2021
course indexed date
Bot
course submited by
Optimization with Python: Solve Operations Research Problems - | Comidoc