| Website: | website containing additional information |
| Course code: | INFOEA |
| Credits: | 7.5 ECTS |
| Period: | period 3 (week 6 through 15, i.e., 3-2-2020 through 9-4-2020; retake week 27)
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| Timeslot: | C |
| Participants: | up till now 44 subscriptions |
| Schedule: | Official schedule representation can be found in MyTimetable |
| Teachers: |
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| Contents: | Evolutionary algorithms (EAs) are population-based, stochastic search algorithms based on the mechanisms of natural evolution. We will study how to design representations and variation operators for specific problems. We also analyse convergence behavior and population sizing. We will discuss how to combine EAs with local search heuristics to solve combinatorial optimization problems like graph bipartitioning, graph coloring, bin packing, … . |
| Literature: | Lecture slides + papers |
| Course form: | Lectures + practical assignment + seminar |
| Exam form: | Written exam (= 60% of final grade) + report of the practical assignment (= 30% of final grade) + seminar presentation (= 10% of final grade). |
| Minimum effort to qualify for 2nd chance exam: | To qualify for the retake exam, the grade of the final exam must be at least 4. |