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Evolutionary computing

Website:website containing additional information
Course code:INFOEA
Credits:7.5 ECTS
Period:period 3 (week 6 through 15, i.e., 8-2-2021 through 16-4-2021; retake week 27)
Participants:up till now 39 subscriptions
Schedule:Official schedule representation can be found in MyTimetable
lecture          Dirk Thierens
Note:No up-to-date course description available.
Text below is from year 2019/2020
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:May change!
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 original must be at least 4.