Department of Information and Computing Sciences

Departement Informatica Onderwijs
Bachelor Informatica Informatiekunde Kunstmatige intelligentie Master Computing Science Game&Media Technology Artifical Intelligence Business Informatics

Onderwijs Informatica en Informatiekunde

Vak-informatie Informatica en Informatiekunde

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)
Timeslot:A
Participants:up till now 50 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:Dit is een oud rooster!
formgrouptimeweekroomteacher
lecture   Mon 9.00-10.456 BBG-061 Dirk Thierens
7-13 BBG-061
Wed 11.00-12.456-7 MIN-2.02
8-13 DDW-1.22
14 BBG-209
Exam:
week: 15Tue 9-4-201917.00-20.00 uurroom: EDUC-BETA
week: 27Mon 1-7-201911.00-14.00 uurroom: BBG-223retake 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
wijzigen?