Share this link via
Or copy link
Overview
Solve optimization problems with CPLEX, Gurobi, Pyomo. . . using linear programming, nonlinear, evolutionary algorithms. . . What you'll learn: Solve optimization problems using linear programming, mixed-integer linear programming, nonlinear programming, mixed-integer nonlinear programming, LP, MILP, NLP, MINLP, SCOP, Non Covex 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. ....
Syllabus
- Introduction to the course
- Installing Python
- Starting with Python
- Introduction to mathematical modelling
- Linear Programming (LP)
- Working with Pyomo
- Mixed-Integer Linear Programming (MILP)
- Nonlinear Programming (NLP)
- Mixed-Integer Nonlinear Programming (MINLP)
- Genetic Algorithm and Particle Swarm
Instructor
Rafael Silva Pinto
Reviews
No reviews yet. Be the first to review!
Alternative Courses
Introduction to AI Programming Welcome to the AI programming with...
Free
You must be logged in to submit a review.