Optimization with Python: Solve Operations Research Problems
Solve optimization problems with CPLEX, Gurobi, Pyomo... using linear programming, nonlinear, evolutionary algorithms...
4.57 (1740 reviews)
12 432
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
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Our Verdict
Optimization with Python: Solve Operations Research Problems serves as an excellent resource to enhance your optimization skills using popular tools like CPLEX, Gurobi, and Pyomo. The course features a wide range of examples and exercises that cater to both beginners and experienced practitioners. However, brace yourself for challenging content and occasional difficulty understanding the instructor's accent.
What We Liked
- In-depth exploration of various optimization techniques, including linear and nonlinear programming, genetic algorithms, particle swarm, and constraint programming
- Comprehensive coverage of main solvers and frameworks like CPLEX, Gurobi, and Pyomo
- Rich set of examples and exercises that demonstrate problem-solving skills using Python
- High-quality theoretical content supplemented with helpful reference materials
Potential Drawbacks
- Some users may find the course content overly complex and demanding, requiring a solid background in optimization theory
- Instructor's English pronunciation can sometimes be difficult to understand, affecting overall learning experience
- Coding examples might benefit from better software engineering practices for improved readability
- Exercises could be more interactive, avoiding long timers during problem-solving sessions
Related Topics
3957970
udemy ID
04/04/2021
course created date
11/04/2021
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