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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 35 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
Note:No up-to-date course description available.
Text below is from year 2016/2017
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 (= 50% of final grade) + report of the practical assignment (= 35% of final grade) + seminar presentation (= 15% of final grade). During the exam you can use a self-written single sheet of paper (A4, double-sided) with notes of the course.
Minimum effort to qualify for 2nd chance exam:To qualify for the retake exam, the grade of the original must be at least 4.