040676 KU Metaheuristics (MA) (2017W)
- Registration is open from Fr 08.09.2017 09:00 to Th 21.09.2017 12:00
- Deregistration possible until Sa 14.10.2017 23:59
Classes (iCal) - next class is marked with N
Lectur: Gast Prof. Celso Ribeiro
Aims, contents and method of the course
Assessment and permitted materials
2. Application seminars (lecturer)
3. Paper presentations (students)
Minimum requirements and assessment criteria
Celso C. Ribeiro Course description: Metaheuristics
presentations, and an application project. The active participation of the students in the discussions and in the application project will be encouraged. At the end of this course, students will know what metaheuristics are, why they are needed, how to design them, and how to evaluate their quality.
2. M. Gendreau and J.-Y. Potvin (2010), editors, Handbook of Metaheuristics, 2nd edition, Springer, 648 pages.
3. E. K. Burke and G. Kendall (2014), editors, Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques, 2nd edition, Springer, 716 pages.
4. H. H. Hoos and T. Stützle (2005), Stochastic Local Search: Foundations and Applications, Elsevier, 658 pages.