Equivalent to requirements for acceptance to the Master`s degree programme. Some undergraduate knowledge of algorithms or OR is recommended. Some programming skills are also recommended, but not strictly necessary.

The course offers a review of and introduction to modern heuristic methods suitable for solving real-world optimization tasks in logistics. The course is especially suitable for students that plan to focus their thesis on planning problems in manufacturing or distribution.

This course is a natural complement to the course INF740 Heuristic Optimization Methods

The course will include the following topics:
- Combinatorial optimization
- Local searches
- Loca search based metaheuristics
- Population based metaheuristics
- Selection methods to solve complex problems in a timely fashion
Practical examples will be used to illustrate.

Lecture foils and relevant articles will be distributed by the lecturer