Workload:
180 h
|
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 | |