Module Number

INFO-4183
Module Title

Evolutionary Algorithms
Lecture Type(s)

Lecture
ECTS 6
Work load
- Contact time
- Self study
Workload:
180 h
Class time:
60 h / 4 SWS
Self study:
120 h
Duration 1 Semester
Frequency Irregular
Language of instruction German and English
Type of Exam

To be announced.

Content

Outline and systematics of heuristic optimization methods, genetic algorithms, classifier systems, genetic programming, evolution strategies, multicriteria optimization, swarm algorithms. In the accompanying exercises, participants deepen the theory or solve simple optimization problems with the optimization system EvA2 and their own programs.

Objectives

The students know the theory and application of modern evolutionary algorithms (genetic algorithms, evolutionary strategies, genetic programming, swarm algorithms, etc.). They can select the optimal algorithms for the respective problem and solve optimisation problems with them.

Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Lecture
V
o
2
4.0
wt
90
g
100
Tutorial
Ü
o
2
2.0
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other Zell
Literature

Skriptum zur Vorlesung

Last offered unknown
Planned for currently not planned
Assigned Study Areas INFO-INFO, INFO-PRAK, MEDI-APPL, MEDI-INFO, ML-CS