4- Course Content :
|
Topic |
No. of hours |
Lecture |
Tutorial/Practical |
|
Meta-heuristic Concept. |
3 |
3 |
- |
|
Local Search. |
3 |
3 |
- |
|
Multi-Start Methods. |
3 |
3 |
- |
|
Tabu Search. |
3 |
3 |
- |
|
Simulated Annealing. |
3 |
3 |
- |
|
Variable Neighborhood Search. |
3 |
3 |
- |
|
GRASP. |
3 |
3 |
- |
|
Genetic Algorithms. |
3 |
3 |
- |
|
Scatter Search. |
3 |
3 |
- |
|
Ant Colony Systems. |
3 |
3 |
- |
|
Particle Swarm Optimization. |
3 |
3 |
- |
|
Comparative Analysis of Algorithms. |
3 |
3 |
- |
|
Case Studies for some meta-heuristic applications. |
6 |
6 |
- |