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 |
- |