Optimization with Python: Solve Operations Research Problems

Solve optimization problems with CPLEX, Gurobi, Pyomo... using linear programming, nonlinear, evolutionary algorithms...

Created by: Rafael Silva Pinto
Optimization and Data Science Consultant, PhD

What Will I 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

Requirements

• Some knowledge in programming logic
• Why and where to use optimization
• It is NOT necessary to know Python

Target audience

• Undergrad, graduation, master program, and doctorate students.
• Companies that wish to solve complex problems
• People interested in complex problems and artificial inteligence