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Evolutionary computing

Website:website containing additional information
Course code:INFOEA
Credits:7.5 ECTS
Period:periode 3 (week 6 t/m 15, dwz 6-2-2017 t/m 13-4-2017; herkansing week 27)
Timeslot:A
Participants:up till now 64 subscriptions
Schedule:Official schedule representation can be found in Osiris
Teachers:
formgrouptimeweekroomteacher
college   ma 11.00-12.457 RUPPERT-042 Dirk Thierens
 
8 BBG-209
9 UNNIK-GROEN
10 RUPPERT-WIT
11-12 KBG-PANGEA
13 RUPPERT-WIT
14 UNNIK-GROEN
wo 11.00-12.456-14 KBG-COSMOS
Tentamen:
week: 15di 11-4-201717.00-20.00 uurzaal: EDUC-GAMMA
week: 27di 4-7-201717.00-20.00 uurzaal: UNNIK-220aanvullende toets
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 (= 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 resit exam your total grade should be at least 4 points.
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