Optimization With Meta Heuristic Methods
Industrial Engineering
Institute of Natural and Applied Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Optimization With Meta Heuristic Methods | MEN514 | Elective | Master's degree | 1 | Spring | 8 |
Name of Lecturer(s)
Assistant Prof. Dr. Atakan ALKAN
Learning Outcomes of the Course Unit
1) Explain the differences between matematical, heuristics and meta-heuristics metods.
2) Compare the meta-heuristic methods
3) Compare local search mechanisms which are used to improve the quality of the solution.
4) Develop hybrid models for optimization problems.
5) Combine local search and global search mechanisms.
6) Different optimization problems using meta-heuristic methods, solves the problem.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||
| 1 | 2 | 3 | 4 | 5 | ||
| Learning Outcomes | ||||||
| 1 | Middle | Middle | Low | Middle | No relation | |
| 2 | Middle | Middle | Middle | High | No relation | |
| 3 | Middle | Middle | Middle | High | No relation | |
| 4 | High | High | Middle | High | No relation | |
| 5 | Middle | Middle | Low | High | No relation | |
| 6 | Middle | Middle | Middle | High | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
none.
Course Contents
Combinatorial problems, local and global optima, heuristics, evaluation of heuristics, simulated annealing, tabu search, genetic algorithms, artificial immune systems, ant colonies optimisation, artificial neural networks, hybrid approachs.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
40% |
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Contribution of Final Examination to Course Grade |
60% |
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Total | 100% | ||||||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required