Information Package / Course Catalogue
| Course Code | : MTK581 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 8 |
The course aims to gain the ability of solving various types optimization problems by using the algorithms based on biological evolution process.
Overview of evolutionary computation, Genetic Algorithms, Evolutionary strategies, Swarm Intelligence, Parameter Selection.
| Assoc. Prof. Korhan GÜNEL |
| 1. | Ability to understand the origin of evolutionary computation. |
| 2. | Ability to select the best alternative evolutionary computation method in the sense of a given objective function. |
| 3. | Ability to use the evolutionary methods for optimization problems. |
| 4. | Ability to understand local search strategies |
| 5. | Ability to learn mutation approaches |
| 1. | Agoston E. Eiben , J.E. Smith, Introduction to Evolutionary Computing, Natural Computing Series, Springer, 2010 |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %30 |
| Final Examination | 1 | %70 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 3 | 42 |
| Individual Work | 14 | 0 | 4 | 56 |
| Midterm Examination | 1 | 42 | 3 | 45 |
| Final Examination | 1 | 54 | 3 | 57 |
| TOTAL WORKLOAD (hours) | 200 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | PÇ-14 | PÇ-15 | |
OÇ-1 | 4 | 4 | 4 | 3 | 3 | 4 | 3 | 3 | 5 | ||||||
OÇ-2 | 4 | 4 | 4 | 4 | 4 | 4 | 3 | 3 | 3 | 4 | 5 | ||||
OÇ-3 | 5 | 5 | 5 | 5 | 5 | 5 | 3 | 3 | 5 | 3 | 4 | 5 | |||
OÇ-4 | 5 | 4 | 4 | 4 | 4 | 4 | 3 | 4 | 4 | ||||||
OÇ-5 | 5 | 4 | 4 | 4 | 4 | 4 | 3 | 4 | 4 | ||||||