Responsible for this page: Oscar Gustafsson , oscarg@isy.liu.se
Page last update: 2011-02-08

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Linköping University , Department of Electronic Engineering , Division of Electronics Systems , Courses , PhD Courses .

PRACTICAL INTEGER OPTIMIZATION


Recommended for: Graduate students in computer science and electrical engineering.

Goals: Many practical problems facing electrical and computer engineers can be solved using optimization with integer variables. The goal of this course is to provide a working knowledge of solving optimization problems with integer variables and (primarily) linear constraints and objective function. We will review different techniques and tools to solve linear programs with integer constraints. We will also introduce the GNU MathProg modelling languague to represent the problems. The examination will be to model a suitable problem and solve it. The project will be presented in a report which should include the model and numerical experiments.
Organization: Lectures and project.
Literature: Lecture notes and software manuals.

Lectures

DateTimeRoomSubject
2011-02-0310-12AlgoritmenIntroduction
Linear programming
Branch-and-bound
Cutting planes
Satisfiability
2011-02-0813-15GlashusetProblem formulation
Problem modelling
Linearizing constraints
2011-02-1513-15GlashusetGNU MathProg
Solvers

Course material

Software

Projects

StudentProject titleReport

Teacher: Oscar Gustafsson
Examination: Minor optimization project model and report.
Credits: 3 HP