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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., 5-2-2018 through 13-4-2018; retake week 27)
Participants:up till now 50 subscriptions
Schedule:Official schedule representation can be found in Osiris
lecture   Mon 9.00-10.456 BBG-061 Dirk Thierens
7-13 BBG-061
Wed 11.00-12.456-7 MIN-202
8-13 DDW-1.22
14 BBG-209
week: 15Tue 10-4-201817.00-20.00 uurroom: EDUC-ALFA
week: 27Tue 3-7-201817.00-20.00 uurroom: UNNIK-220retake exam
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 resit your total grade should be at least 4.0