Evolutionary Computing
The course is not on the list Without time-table
| Code | Completion | Credits | Range |
|---|---|---|---|
| EP33ECD | Z,ZK | 3 | 2+1s |
- Lecturer:
- Tutor:
- Supervisor:
- Department of Cybernetics
- Synopsis:
-
Introduction to evolutionary computing in contrast to classical computing techniques, Genetic algorithms (GA) for optimisation. The Simple Genetic Algorithm (SGA) and its behaviour. GA Convergence, negative phenomena. GA and constrained tasks, special representations. Genetic Programming (GP), relationship to GA. GP typical tasks, GP and machine learning. GA and GP applications. Special methods for improving GA performance.
- Requirements:
- Syllabus of lectures:
- Syllabus of tutorials:
- Study Objective:
- Study materials:
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans: