Evolutionary computing

Website:website containing additional information
Course code:INFOEA
Credits:7.5 ECTS
Period:periode 2 (week 46 t/m 5, dwz 12-11-2012 t/m 1-2-2013; herkansing week 11)
Timeslot:C
Participants:up till now 35 subscriptions
Schedule:Note: from now on the schedule is to be found in Osiris
Teachers:Dit is een oud rooster!
formgrouptimeweekroomteacher
college   ma 15.15-17.0046-51 BBL-083 Dirk Thierens
 
2-4 BBL-083
do 9.00-10.4546-51 BBL-165
2-4 BBL-165
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. The course will focus on the combination of EAs with local search heuristics to solve combinatorial optimization problems like graph bipartitioning, graph coloring, and bin packing.
Literature:Lecture slides + papers
Course form:Lectures + practical assignment + seminar
Exam form:Written exam + report of the practical assignment. Both count for 40% of the final grade. During the exam you can use a self-written single sheet of paper (A4, double-sided) with notes of the course. The presentation counts for the remaining 20%.
Minimum effort to qualify for 2nd chance exam:Om aan de aanvullende toets te mogen meedoen moet de oorspronkelijke uitslag minstens 3 zijn.
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