Introduction to Mixed Integer Linear Programming

← Back to document page

Norwegian University of Science and Technology Introduction to Mixed Integer Linear Programming Norwegian University of Science and Technology 2 Overview of module: Introduction and motivation. Fundamentals concepts and mathematics in Mixed Integer Linear Programming . The basic algorithms: Branch-and-bound Branch-and-cut Briefly on heuristics and decomposition approaches. Software. Examples on applications from real-world problems. Norwegian University of Science and Technology 3 Learning outcome of course module understanding of Mixed Integer Linear Programming . the basic differences between Integer and continuous optimization. able to formulate a MIP model based on a problem with discrete decision variables. of applications of MIP in control engineering, energy systems and economics. Norwegian University of Science and Technology 4 What is fundamentaly different from continuous optimization?

1. Basic understanding of mixed integer linear programming. 2. Know the basic differences between integer and continuous optimization. 3. Be able to formulate a MIP model based on a problem with discrete decision variables. 4. Knowledge of applications of MIP in control engineering, energy systems and economics.

  Programming, Linear, Mixed, Integre, Mixed integer linear programming